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@article{williams2020derivingmetamodelsto,
abstract = {The widespread growth of additive manufacturing, a field with a complex informatic “digital thread”, has helped fuel the creation of design repositories, where multiple users can upload distribute, and download a variety of candidate designs for a variety of situations. Additionally, advancements in additive manufacturing process development, design frameworks, and simulation are increasing what is possible to fabricate with AM, further growing the richness of such repositories. Machine learning offers new opportunities to combine these design repository components’ rich geometric data with their associated process and performance data to train predictive models capable of automatically assessing build metrics related to AM part manufacturability. Although design repositories that can be used to train these machine learning constructs are expanding, our understanding of what makes a particular design repository useful as a machine learning training dataset is minimal. In this study we use a metamodel to predict the extent to which individual design repositories can train accurate convolutional neural networks. To facilitate the creation and refinement of this metamodel, we constructed a large artificial design repository, and subsequently split it into sub-repositories. We then analyzed metadata regarding the size, complexity, and diversity of the sub-repositories for use as independent variables predicting accuracy and the required training computational effort for training convolutional neural networks. The networks each predict one of three additive manufacturing build metrics: (1) part mass, (2) support material mass, and (3) build time. Our …},
author = {Glen Williams and Nicholas A Meisel and Timothy W Simpson and Christopher McComb},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Deriving Metamodels to Relate Machine Learning Quality to Repository Characteristics in the Context of Additive Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "williams2020derivingmetamodelsto",
"abstract": "The widespread growth of additive manufacturing, a field with a complex informatic “digital thread”, has helped fuel the creation of design repositories, where multiple users can upload distribute, and download a variety of candidate designs for a variety of situations. Additionally, advancements in additive manufacturing process development, design frameworks, and simulation are increasing what is possible to fabricate with AM, further growing the richness of such repositories. Machine learning offers new opportunities to combine these design repository components’ rich geometric data with their associated process and performance data to train predictive models capable of automatically assessing build metrics related to AM part manufacturability. Although design repositories that can be used to train these machine learning constructs are expanding, our understanding of what makes a particular design repository useful as a machine learning training dataset is minimal. In this study we use a metamodel to predict the extent to which individual design repositories can train accurate convolutional neural networks. To facilitate the creation and refinement of this metamodel, we constructed a large artificial design repository, and subsequently split it into sub-repositories. We then analyzed metadata regarding the size, complexity, and diversity of the sub-repositories for use as independent variables predicting accuracy and the required training computational effort for training convolutional neural networks. The networks each predict one of three additive manufacturing build metrics: (1) part mass, (2) support material mass, and (3) build time. Our …",
"author": "Glen Williams and Nicholas A Meisel and Timothy W Simpson and Christopher McComb",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Deriving Metamodels to Relate Machine Learning Quality to Repository Characteristics in the Context of Additive Manufacturing",
"volume": null
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@article{saravanan2019decision-makinginthe,
abstract = {Prosthetists face a daunting number of decisions that directly affect an amputee’s ability to walk and indirectly affect the overall quality of life of that amputee. In addition, the lack of resources in low-income countries provides a barrier to receive care after an amputation, and approximately 80% of amputees in low-income countries lack appropriate prosthetic care. In this research, we are motivated to understand what factors affect the decision-making strategies of prosthetists and podiatrists when prescribing prosthetics and orthotics to partial foot amputees. This work establishes a decision-making framework as a step towards automated methods that may reduce the complexities and decision-making burden of prosthetic prescription, ultimately increasing the efficiency of prosthetic prescription in low-resourced areas. A decision-making model is proposed based on an extensive literature review of over 100 …},
author = {Pratima Saravanan and Charity Hippie and Jingxin Wang and Christopher McComb and Jessica Menold},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {Decision-Making In The Prescription Of Orthotics And Prosthetics For Partial-Foot Amputees}
}
| {
"ENTRYTYPE": "article",
"ID": "saravanan2019decision-makinginthe",
"abstract": "Prosthetists face a daunting number of decisions that directly affect an amputee’s ability to walk and indirectly affect the overall quality of life of that amputee. In addition, the lack of resources in low-income countries provides a barrier to receive care after an amputation, and approximately 80% of amputees in low-income countries lack appropriate prosthetic care. In this research, we are motivated to understand what factors affect the decision-making strategies of prosthetists and podiatrists when prescribing prosthetics and orthotics to partial foot amputees. This work establishes a decision-making framework as a step towards automated methods that may reduce the complexities and decision-making burden of prosthetic prescription, ultimately increasing the efficiency of prosthetic prescription in low-resourced areas. A decision-making model is proposed based on an extensive literature review of over 100 …",
"author": "Pratima Saravanan and Charity Hippie and Jingxin Wang and Christopher McComb and Jessica Menold",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Decision-Making In The Prescription Of Orthotics And Prosthetics For Partial-Foot Amputees",
"volume": null
} | 0P9w_S0AAAAJ:M05iB0D1s5AC | 6 | /scholar?hl=en&cites=2879457731220041904 | [
"2879457731220041904"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/V02BT03A001/1069758 | /scholar?oi=bibs&hl=en&q=related:sHAf74zj9ScJ:scholar.google.com/ | null | null | null | null | 2 | 2 | 1 | 1 | null | [
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@article{alzayed2018helpingteamsexpand,
abstract = {Product dissection has been highlighted as an effective means of interacting with example products in order to produce creative outcomes. While product dissection is often conducted as a team in engineering design education as a component of larger engineering design projects, the research on the effectiveness of product dissection activities has been primarily limited to individuals. Thus, the goal of this study was to investigate the impact of the type (s) of product dissected in a team environment on the breadth of the design space explored and the underlying influence of educational level on these effects. This was accomplished through a computational simulation of 7,000 nominal brainstorming teams generated by a statistical bootstrapping technique that accounted for all possible team configurations. Specifically, each team was composed of four team members based on a design repository of 463 ideas generated by first-year and senior engineering design students after a product dissection activity. The results of the study highlight that simulated senior engineering design teams explored a larger solution space than simulated first-year teams and that dissecting different types of products allowed for the exploration of a larger solution space for all of the teams. The results also showed that dissecting two analogically far and two simple products was most effective in expanding the solution space for simulated senior teams. The findings presented in this study can lead to a better understanding of how to most effectively deploy product dissection modules in engineering design education in order to maximize the solution space explored.},
author = {Mohammad Alsager Alzayed and Christopher McComb and Samuel T Hunter and Scarlett R Miller},
citation = {ASME 2018 International Design Engineering Technical Conferences and …, 2018},
conference = {ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2018},
publisher = {American Society of Mechanical Engineers Digital Collection},
title = {Helping Teams Expand the Breadth of Their Solution Space Through Product Dissection: A Simulation Based Investigation}
}
| {
"ENTRYTYPE": "article",
"ID": "alzayed2018helpingteamsexpand",
"abstract": "Product dissection has been highlighted as an effective means of interacting with example products in order to produce creative outcomes. While product dissection is often conducted as a team in engineering design education as a component of larger engineering design projects, the research on the effectiveness of product dissection activities has been primarily limited to individuals. Thus, the goal of this study was to investigate the impact of the type (s) of product dissected in a team environment on the breadth of the design space explored and the underlying influence of educational level on these effects. This was accomplished through a computational simulation of 7,000 nominal brainstorming teams generated by a statistical bootstrapping technique that accounted for all possible team configurations. Specifically, each team was composed of four team members based on a design repository of 463 ideas generated by first-year and senior engineering design students after a product dissection activity. The results of the study highlight that simulated senior engineering design teams explored a larger solution space than simulated first-year teams and that dissecting different types of products allowed for the exploration of a larger solution space for all of the teams. The results also showed that dissecting two analogically far and two simple products was most effective in expanding the solution space for simulated senior teams. The findings presented in this study can lead to a better understanding of how to most effectively deploy product dissection modules in engineering design education in order to maximize the solution space explored.",
"author": "Mohammad Alsager Alzayed and Christopher McComb and Samuel T Hunter and Scarlett R Miller",
"citation": "ASME 2018 International Design Engineering Technical Conferences and …, 2018",
"conference": "ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2018,
"publisher": "American Society of Mechanical Engineers Digital Collection",
"title": "Helping Teams Expand the Breadth of Their Solution Space Through Product Dissection: A Simulation Based Investigation",
"volume": null
} | 0P9w_S0AAAAJ:f2IySw72cVMC | 6 | /scholar?hl=en&cites=5711227265462355806,5641329849315450863 | [
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"5641329849315450863"
] | https://drive.google.com/file/d/11o-4hRC8Xiy4dpULJwvt92GmVlx0DdRr/view | /scholar?oi=bibs&hl=en&q=related:XsdoRfBaQk8J:scholar.google.com/ | null | null | null | 1 | 3 | 0 | 1 | 1 | null | [
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@article{santaeufemia2014improvingirrigationin,
abstract = {Water-lifting technologies in rural areas of the developing world have enormous potential to stimulate agricultural and economic growth. The treadle pump, a human-powered low-cost pump designed for irrigation in developing countries, can help farmers maximize financial return on small plots of land by ending their dependency on rain-fed irrigation systems. The treadle pump uses a suction piston to draw groundwater to the surface by way of a foot-powered treadle attached to each suction piston. Current treadle pump designs lift water from depths up to 7 meters at a flow-rate of 1–5 liters per second. This work seeks to optimize the design of the Dekhi style treadle pump, which has gained significant popularity due to its simplicity. A mathematical model of the working fluid and treadle pump structure has been developed in this study. Deterministic optimization methods are then employed to maximize the flow rate …},
author = {Pablo S. Santaeufemia and Nathan G Johnson and Christopher McComb and Kenji Shimada},
citation = {ASME 2014 International Design Engineering Technical Conferences and …, 2014},
conference = {ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2014},
title = {Improving Irrigation in Remote Areas: Multi-objective Optimization of a Treadle Pump}
}
| {
"ENTRYTYPE": "article",
"ID": "santaeufemia2014improvingirrigationin",
"abstract": "Water-lifting technologies in rural areas of the developing world have enormous potential to stimulate agricultural and economic growth. The treadle pump, a human-powered low-cost pump designed for irrigation in developing countries, can help farmers maximize financial return on small plots of land by ending their dependency on rain-fed irrigation systems. The treadle pump uses a suction piston to draw groundwater to the surface by way of a foot-powered treadle attached to each suction piston. Current treadle pump designs lift water from depths up to 7 meters at a flow-rate of 1–5 liters per second. This work seeks to optimize the design of the Dekhi style treadle pump, which has gained significant popularity due to its simplicity. A mathematical model of the working fluid and treadle pump structure has been developed in this study. Deterministic optimization methods are then employed to maximize the flow rate …",
"author": "Pablo S. Santaeufemia and Nathan G Johnson and Christopher McComb and Kenji Shimada",
"citation": "ASME 2014 International Design Engineering Technical Conferences and …, 2014",
"conference": "ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2014,
"publisher": null,
"title": "Improving Irrigation in Remote Areas: Multi-objective Optimization of a Treadle Pump",
"volume": null
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@article{doctorarastoo2023exploringthepotentials,
abstract = { For decades, cyber-physical systems (CPSs) have transformed the design and management of infrastructure systems, improving their performance through the combination of sensing, computing, and control. However, while the existing CPS paradigm supports infrastructure system actuation to achieve desired economic objectives (e.g., efficiency, safety), it fails to account for possible input-output relationships between physical system actuation and human-centered (or “social”) benefits and objectives. There are entirely unexplored social benefits to be derived from infrastructure systems that have yet to be scientifically understood and exploited. For instance, the impact of public space design and management on social interactions. To address this untapped potential, we first highlight the existing gaps and challenges to reimagining CPS theory capable of measuring, modeling, and actuating social objectives within …},
author = {Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb},
citation = {10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023},
conference = {10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
pub_year = {2023},
title = {Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives}
}
| {
"ENTRYTYPE": "article",
"ID": "doctorarastoo2023exploringthepotentials",
"abstract": " For decades, cyber-physical systems (CPSs) have transformed the design and management of infrastructure systems, improving their performance through the combination of sensing, computing, and control. However, while the existing CPS paradigm supports infrastructure system actuation to achieve desired economic objectives (e.g., efficiency, safety), it fails to account for possible input-output relationships between physical system actuation and human-centered (or “social”) benefits and objectives. There are entirely unexplored social benefits to be derived from infrastructure systems that have yet to be scientifically understood and exploited. For instance, the impact of public space design and management on social interactions. To address this untapped potential, we first highlight the existing gaps and challenges to reimagining CPS theory capable of measuring, modeling, and actuating social objectives within …",
"author": "Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb",
"citation": "10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023",
"conference": "10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives",
"volume": null
} | 0P9w_S0AAAAJ:PoWvk5oyLR8C | 5 | /scholar?hl=en&cites=11391571452162927466 | [
"11391571452162927466"
] | https://dl.acm.org/doi/abs/10.1145/3600100.3626340 | /scholar?oi=bibs&hl=en&q=related:auumb-H9Fp4J:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 3 | [
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@article{baldwin2022adata-drivenapproach,
abstract = {Additive manufacturing is advantageous for producing lightweight components while maintaining function and form. This ability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be necessary to use multiple lattice cell types, also known as multi-lattice structures. In such structures, abrupt transitions between geometries may cause stress concentrations, making the boundary a primary failure point; thus, transition regions should be created between each lattice cell type. Although computational approaches have been proposed, smooth transition regions are still difficult to intuit and design, especially between lattices of drastically different geometries. This work demonstrates and assesses a method for using variational autoencoders to automate the creation of transitional lattice cells. In particular, the work focuses on identifying the relationships that exist within the latent space produced by the variational autoencoder. Through computational experimentation, it was found that the smoothness of transition regions was higher when the endpoints were located closer together in the latent space.},
author = {Martha Baldwin and Nicholas A Meisel and Christopher McComb},
citation = {2022 International Solid Freeform Fabrication Symposium, 2022},
conference = {2022 International Solid Freeform Fabrication Symposium},
pub_year = {2022},
title = {A Data-driven Approach for Multi-Lattice Transitions}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2022adata-drivenapproach",
"abstract": "Additive manufacturing is advantageous for producing lightweight components while maintaining function and form. This ability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be necessary to use multiple lattice cell types, also known as multi-lattice structures. In such structures, abrupt transitions between geometries may cause stress concentrations, making the boundary a primary failure point; thus, transition regions should be created between each lattice cell type. Although computational approaches have been proposed, smooth transition regions are still difficult to intuit and design, especially between lattices of drastically different geometries. This work demonstrates and assesses a method for using variational autoencoders to automate the creation of transitional lattice cells. In particular, the work focuses on identifying the relationships that exist within the latent space produced by the variational autoencoder. Through computational experimentation, it was found that the smoothness of transition regions was higher when the endpoints were located closer together in the latent space.",
"author": "Martha Baldwin and Nicholas A Meisel and Christopher McComb",
"citation": "2022 International Solid Freeform Fabrication Symposium, 2022",
"conference": "2022 International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "A Data-driven Approach for Multi-Lattice Transitions",
"volume": null
} | 0P9w_S0AAAAJ:EkHepimYqZsC | 5 | /scholar?hl=en&cites=5791427426123906708 | [
"5791427426123906708"
] | https://par.nsf.gov/biblio/10439734 | /scholar?oi=bibs&hl=en&q=related:lP6RTI9IX1AJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 3 | [
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@article{evans2022theproblemwith,
abstract = {Although music education has been proven to benefit students, music programs are often cut when public school funding is reduced. The cost of instruments is a significant financial burden on music programs, which restricts student access to high-quality instruments that would benefit their learning. Therefore, this paper aims to develop additively manufactured, polylactic acid (PLA) claves that could reproduce the sound of wooden claves and be printed by students in schools at a reduced cost to promote equal access to music education regardless of a school’s financial status.This study developed a dual approach for analyzing clave vibration using mathematical analysis in MATLAB and SolidWorks finite element frequency simulation to predict the natural frequencies of 15 claves with varying geometries. To evaluate the performance of both models, the authors obtained …},
author = {Emmeline Evans and Christopher McComb},
citation = {Rapid Prototyping Journal, 2022},
journal = {Rapid Prototyping Journal},
pub_year = {2022},
title = {The problem with printing pitch: challenges in designing 3D printed claves}
}
| {
"ENTRYTYPE": "article",
"ID": "evans2022theproblemwith",
"abstract": "Although music education has been proven to benefit students, music programs are often cut when public school funding is reduced. The cost of instruments is a significant financial burden on music programs, which restricts student access to high-quality instruments that would benefit their learning. Therefore, this paper aims to develop additively manufactured, polylactic acid (PLA) claves that could reproduce the sound of wooden claves and be printed by students in schools at a reduced cost to promote equal access to music education regardless of a school’s financial status.This study developed a dual approach for analyzing clave vibration using mathematical analysis in MATLAB and SolidWorks finite element frequency simulation to predict the natural frequencies of 15 claves with varying geometries. To evaluate the performance of both models, the authors obtained …",
"author": "Emmeline Evans and Christopher McComb",
"citation": "Rapid Prototyping Journal, 2022",
"conference": null,
"journal": "Rapid Prototyping Journal",
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "The problem with printing pitch: challenges in designing 3D printed claves",
"volume": null
} | 0P9w_S0AAAAJ:uc_IGeMz5qoC | 5 | /scholar?hl=en&cites=11702420821718132408 | [
"11702420821718132408"
] | https://www.emerald.com/insight/content/doi/10.1108/RPJ-01-2022-0028/full/html | /scholar?oi=bibs&hl=en&q=related:uOakOrxZZ6IJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 3 | [
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] | null | null |
@article{song2022assessingmachinelearnability,
abstract = {Deep learning (DL) from various representations have succeeded in many fields. However, we know little about the machine learnability of distinct design representations when using DL to predict design performance. This paper proposes a graph representation for designs and compares it to the common image representation. We employ graph neural networks (GNNs) and convolutional neural networks (CNNs) respectively to learn them to predict drone performance. GCNs outperform CNNs by 2.6-8.1% in predictive validity. We argue that graph learning is a powerful and generalizable method for such tasks.},
author = {Binyang Song and Christopher McComb and Faez Ahmed},
citation = {International Design Conference - DESIGN 2022, 2022},
conference = {International Design Conference - DESIGN 2022},
pub_year = {2022},
title = {Assessing Machine Learnability Of Image And Graph Representations For Drone Performance Prediction}
}
| {
"ENTRYTYPE": "article",
"ID": "song2022assessingmachinelearnability",
"abstract": "Deep learning (DL) from various representations have succeeded in many fields. However, we know little about the machine learnability of distinct design representations when using DL to predict design performance. This paper proposes a graph representation for designs and compares it to the common image representation. We employ graph neural networks (GNNs) and convolutional neural networks (CNNs) respectively to learn them to predict drone performance. GCNs outperform CNNs by 2.6-8.1% in predictive validity. We argue that graph learning is a powerful and generalizable method for such tasks.",
"author": "Binyang Song and Christopher McComb and Faez Ahmed",
"citation": "International Design Conference - DESIGN 2022, 2022",
"conference": "International Design Conference - DESIGN 2022",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Assessing Machine Learnability Of Image And Graph Representations For Drone Performance Prediction",
"volume": null
} | 0P9w_S0AAAAJ:tzM49s52ZIMC | 5 | /scholar?hl=en&cites=9593955547732374423 | [
"9593955547732374423"
] | https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/assessing-machine-learnability-of-image-and-graph-representations-for-drone-performance-prediction/7ECB70C93B8F32E14B826963DBBB6BA4 | /scholar?oi=bibs&hl=en&q=related:l_N5Xb2TJIUJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 2 | [
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@article{song2021addressingchallengesto,
abstract = {As Artificial Intelligence (AI) assistance tools become more ubiquitous in engineering design, it becomes increasingly necessary to understand the influence of AI assistance on the design process and design effectiveness. Previous work has shown the advantages of incorporating AI design agents to assist human designers. However, the influence of AI assistance on the behavior of designers during the design process is still unknown. This study examines the differences in participants’ design process and effectiveness with and without AI assistance during a complex drone design task using the HyForm design research platform. Data collected from this study is analyzed to assess the design process and effectiveness using quantitative methods, such as Hidden Markov Models and network analysis. The results indicate that AI assistance is most beneficial when addressing moderately complex objectives but …},
author = {Binyang Song and Nicolas F Soria Zurita and Hannah Nolte and Harshika Singh and Jonathan Cagan and Christopher McComb},
citation = {ASME 2021 International Design Engineering Technical Conferences and …, 2021},
conference = {ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2021},
title = {Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process}
}
| {
"ENTRYTYPE": "article",
"ID": "song2021addressingchallengesto",
"abstract": "As Artificial Intelligence (AI) assistance tools become more ubiquitous in engineering design, it becomes increasingly necessary to understand the influence of AI assistance on the design process and design effectiveness. Previous work has shown the advantages of incorporating AI design agents to assist human designers. However, the influence of AI assistance on the behavior of designers during the design process is still unknown. This study examines the differences in participants’ design process and effectiveness with and without AI assistance during a complex drone design task using the HyForm design research platform. Data collected from this study is analyzed to assess the design process and effectiveness using quantitative methods, such as Hidden Markov Models and network analysis. The results indicate that AI assistance is most beneficial when addressing moderately complex objectives but …",
"author": "Binyang Song and Nicolas F Soria Zurita and Hannah Nolte and Harshika Singh and Jonathan Cagan and Christopher McComb",
"citation": "ASME 2021 International Design Engineering Technical Conferences and …, 2021",
"conference": "ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process",
"volume": null
} | 0P9w_S0AAAAJ:bnK-pcrLprsC | 5 | /scholar?hl=en&cites=5241303359211575714 | [
"5241303359211575714"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2021/V006T06A055/1128582 | /scholar?oi=bibs&hl=en&q=related:ohnetaLZvEgJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 1 | 3 | [
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@article{williams2020comparingattribute-and,
abstract = {Online data repositories provide designers and engineers with a convenient source of data. Over time, the wealth and type of readily-available data within online repositories has greatly expanded. This data increase permits new uses for machine learning approaches which rely on large, high-dimensional datasets. However, a comparison of the efficacies of attribute-based data, which lends itself well to traditional machine learning algorithms, and form-based data, which lends itself to deep machine learning algorithms, has not fully been established. This paper presents one such comparison for an exemplar dataset. As the efficacy of different machine learning approaches may be dependent on the specific application, this method is intended to lay the groundwork for future studies that produce more extensive comparisons. Specifically, this work makes use of a manufactured gear dataset for sale price …},
author = {Glen Williams and Lucas Puentes and Jacob Nelson and Jessica Menold and Conrad Tucker and Christopher McComb},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction}
}
| {
"ENTRYTYPE": "article",
"ID": "williams2020comparingattribute-and",
"abstract": "Online data repositories provide designers and engineers with a convenient source of data. Over time, the wealth and type of readily-available data within online repositories has greatly expanded. This data increase permits new uses for machine learning approaches which rely on large, high-dimensional datasets. However, a comparison of the efficacies of attribute-based data, which lends itself well to traditional machine learning algorithms, and form-based data, which lends itself to deep machine learning algorithms, has not fully been established. This paper presents one such comparison for an exemplar dataset. As the efficacy of different machine learning approaches may be dependent on the specific application, this method is intended to lay the groundwork for future studies that produce more extensive comparisons. Specifically, this work makes use of a manufactured gear dataset for sale price …",
"author": "Glen Williams and Lucas Puentes and Jacob Nelson and Jessica Menold and Conrad Tucker and Christopher McComb",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction",
"volume": null
} | 0P9w_S0AAAAJ:UxriW0iASnsC | 5 | /scholar?hl=en&cites=3318865079694749688 | [
"3318865079694749688"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2020/V11BT11A019/1090260 | /scholar?oi=bibs&hl=en&q=related:-G-ntDT6Di4J:scholar.google.com/ | null | null | null | null | null | 1 | 1 | 2 | 1 | [
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@article{khanolkar2020usingdeepimage,
abstract = {The microstructure of a material governs mechanical properties such as strength and toughness. Various finite element analysis (FEA) software packages are used to perform structural analyses such as predicting the flow of strain or strain fields in a microstructure. Engineers frequently operate these software packages to evaluate mechanical behavior and predict failure. Even though these FEA software packages provide highly accurate analyses, they are computationally intensive, taking a significant amount of time to produce a solution. The time required by the FEA software packages to achieve accurate results largely depends on microstructure details and mesh resolution, thus providing a trade-off between fidelity and computation time. This research proposes the use of Deep Learning algorithms to achieve a significant reduction in the time required to predict high-accuracy strain fields in a two-dimensional …},
author = {Pranav Milind Khanolkar and Aaron Abraham and Christopher McComb and Saurabh Basu},
citation = {North American Manufacturing Research Conference, 2020},
conference = {North American Manufacturing Research Conference},
pub_year = {2020},
title = {Using Deep Image Colorization to Predict Microstructure-Dependent Strain Fields}
}
| {
"ENTRYTYPE": "article",
"ID": "khanolkar2020usingdeepimage",
"abstract": "The microstructure of a material governs mechanical properties such as strength and toughness. Various finite element analysis (FEA) software packages are used to perform structural analyses such as predicting the flow of strain or strain fields in a microstructure. Engineers frequently operate these software packages to evaluate mechanical behavior and predict failure. Even though these FEA software packages provide highly accurate analyses, they are computationally intensive, taking a significant amount of time to produce a solution. The time required by the FEA software packages to achieve accurate results largely depends on microstructure details and mesh resolution, thus providing a trade-off between fidelity and computation time. This research proposes the use of Deep Learning algorithms to achieve a significant reduction in the time required to predict high-accuracy strain fields in a two-dimensional …",
"author": "Pranav Milind Khanolkar and Aaron Abraham and Christopher McComb and Saurabh Basu",
"citation": "North American Manufacturing Research Conference, 2020",
"conference": "North American Manufacturing Research Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Using Deep Image Colorization to Predict Microstructure-Dependent Strain Fields",
"volume": null
} | 0P9w_S0AAAAJ:xtRiw3GOFMkC | 5 | /scholar?hl=en&cites=4376103210618094478 | [
"4376103210618094478"
] | https://www.sciencedirect.com/science/article/pii/S2351978920315900 | /scholar?oi=bibs&hl=en&q=related:joNWOa8KuzwJ:scholar.google.com/ | null | null | null | null | null | 2 | 1 | 1 | 1 | [
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@article{maier2019assessingtheimpact,
abstract = {Cognitive assistants, such as Apple’s Siri or Amazon’s Alexa, are increasingly becoming routine elements of our daily lives, yet the effects of such devices on the humans using them has been largely unstudied. While much research has proposed new intelligent systems for specific contexts, few studies have characterized the dynamics between cognitive assistants and humans. In an effort to address this gap, this research study investigates the effect of cognitive assistants on mental workload. Participants perform the Wisconsin Card Sorting Task while working with a fake cognitive assistant (Mary) and concurrently completing a secondary speed and accuracy test. Performance with the cognitive assistant was found to be higher but with no significant difference in mental workload. Participants working with the cognitive assistant were found to be less frustrated than those completing the task without it.},
author = {Torsten Maier and Vincent Donghia and Chaoran Chen and Jessica Menold and Christopher McComb},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {Assessing The Impact Of Cognitive Assistants On Mental Workload In Simple Tasks}
}
| {
"ENTRYTYPE": "article",
"ID": "maier2019assessingtheimpact",
"abstract": "Cognitive assistants, such as Apple’s Siri or Amazon’s Alexa, are increasingly becoming routine elements of our daily lives, yet the effects of such devices on the humans using them has been largely unstudied. While much research has proposed new intelligent systems for specific contexts, few studies have characterized the dynamics between cognitive assistants and humans. In an effort to address this gap, this research study investigates the effect of cognitive assistants on mental workload. Participants perform the Wisconsin Card Sorting Task while working with a fake cognitive assistant (Mary) and concurrently completing a secondary speed and accuracy test. Performance with the cognitive assistant was found to be higher but with no significant difference in mental workload. Participants working with the cognitive assistant were found to be less frustrated than those completing the task without it.",
"author": "Torsten Maier and Vincent Donghia and Chaoran Chen and Jessica Menold and Christopher McComb",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Assessing The Impact Of Cognitive Assistants On Mental Workload In Simple Tasks",
"volume": null
} | 0P9w_S0AAAAJ:35N4QoGY0k4C | 5 | /scholar?hl=en&cites=9101161226199272232 | [
"9101161226199272232"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/59278/1070129 | /scholar?oi=bibs&hl=en&q=related:KIsqS-rRTX4J:scholar.google.com/ | null | null | null | null | null | 3 | 2 | null | null | [
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@article{evans2019criticalthinkingin,
abstract = {Within the domain of education, the term “critical thinking” is widely understood to mean the various skills that comprise an individual’s logical and reasoning abilities. It is critical that designers possess these abilities so that they can solve the complex problems of an increasingly interconnected world. In order to better understand patterns in engineering students’ critical thinking, this research applies the classifications of the 2001 revision of Bloom’s Taxonomy to 49 reflections written by first-year engineering students on a two-hour design practicum. Reflections were thematically coded to identify when students operated in different levels of the cognitive process and knowledge dimensions. Using k-means clustering analysis, genres of reflection were then determined. Four unique clusters of responses were identified. Notable trends in clusters included application and evaluation of procedural knowledge …},
author = {Emmeline Evans and Jessica Menold and Christopher McComb},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {Critical Thinking In The Design Classroom: An Analysis Of Student Design Reflections}
}
| {
"ENTRYTYPE": "article",
"ID": "evans2019criticalthinkingin",
"abstract": "Within the domain of education, the term “critical thinking” is widely understood to mean the various skills that comprise an individual’s logical and reasoning abilities. It is critical that designers possess these abilities so that they can solve the complex problems of an increasingly interconnected world. In order to better understand patterns in engineering students’ critical thinking, this research applies the classifications of the 2001 revision of Bloom’s Taxonomy to 49 reflections written by first-year engineering students on a two-hour design practicum. Reflections were thematically coded to identify when students operated in different levels of the cognitive process and knowledge dimensions. Using k-means clustering analysis, genres of reflection were then determined. Four unique clusters of responses were identified. Notable trends in clusters included application and evaluation of procedural knowledge …",
"author": "Emmeline Evans and Jessica Menold and Christopher McComb",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Critical Thinking In The Design Classroom: An Analysis Of Student Design Reflections",
"volume": null
} | 0P9w_S0AAAAJ:RYcK_YlVTxYC | 5 | /scholar?hl=en&cites=561950987242931251 | [
"561950987242931251"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/59216/1069861 | /scholar?oi=bibs&hl=en&q=related:M4TLD3JzzAcJ:scholar.google.com/ | null | null | null | null | null | 1 | 2 | 2 | null | [
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@article{mccomb2018designpracticaas,
abstract = {This paper describes the design and evaluation of a novel assessment for first-year engineering design courses that is rooted in an authentic design challenge. This approach modifies the traditional written-exam approach typically found in engineering courses, which is inherently inauthentic and cannot easily capture the exploratory nature of engineering design. Our assessment improves alignment with common learning objectives found in first-year engineering design courses and additionally prepares students for the type of case study interviews that are increasingly common for entry-level engineering jobs. To evaluate our assessment, 50 first-year students completed the engineering design self-efficacy instrument once before beginning the assessment and a second time approximately 48 hours later upon completion of a reflection assignment. In addition, students retrospectively reported their perceived change in self-efficacy during the assessment. Analysis shows that students perceived a large retrospective increase in skill level, despite only a small increase in directly measured self-efficacy. These results are analyzed in light of the Dunning-Kruger effect and we posit that the assessment helps to align students’ self-efficacy with their actual skill level. Increased alignment of self-efficacy with skill level may minimize student frustration when encountering challenging tasks in the future, potentially increasing retention of engineering students as well as facilitating the development of lifelong learning attitudes.},
author = {Christopher McComb and Catherine GP Berdanier and Jessica Menold},
citation = {First-Year Engineering Experience Conference, 2018},
conference = {First-Year Engineering Experience Conference},
pub_year = {2018},
title = {Design Practica as Authentic Assessments in First-year Engineering Design Courses}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2018designpracticaas",
"abstract": "This paper describes the design and evaluation of a novel assessment for first-year engineering design courses that is rooted in an authentic design challenge. This approach modifies the traditional written-exam approach typically found in engineering courses, which is inherently inauthentic and cannot easily capture the exploratory nature of engineering design. Our assessment improves alignment with common learning objectives found in first-year engineering design courses and additionally prepares students for the type of case study interviews that are increasingly common for entry-level engineering jobs. To evaluate our assessment, 50 first-year students completed the engineering design self-efficacy instrument once before beginning the assessment and a second time approximately 48 hours later upon completion of a reflection assignment. In addition, students retrospectively reported their perceived change in self-efficacy during the assessment. Analysis shows that students perceived a large retrospective increase in skill level, despite only a small increase in directly measured self-efficacy. These results are analyzed in light of the Dunning-Kruger effect and we posit that the assessment helps to align students’ self-efficacy with their actual skill level. Increased alignment of self-efficacy with skill level may minimize student frustration when encountering challenging tasks in the future, potentially increasing retention of engineering students as well as facilitating the development of lifelong learning attitudes.",
"author": "Christopher McComb and Catherine GP Berdanier and Jessica Menold",
"citation": "First-Year Engineering Experience Conference, 2018",
"conference": "First-Year Engineering Experience Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2018,
"publisher": null,
"title": "Design Practica as Authentic Assessments in First-year Engineering Design Courses",
"volume": null
} | 0P9w_S0AAAAJ:j3f4tGmQtD8C | 5 | /scholar?hl=en&cites=13588346523462802841,10196112679893162187 | [
"13588346523462802841",
"10196112679893162187"
] | https://engrxiv.org/index.php/engrxiv/preprint/view/239 | /scholar?oi=bibs&hl=en&q=related:mR3qPyuBk7wJ:scholar.google.com/ | null | null | null | 1 | 3 | 1 | null | null | null | [
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@article{mccomb2017elicitingconfigurationdesign,
abstract = {Configuration design problems, characterized by the selection and assembly of components into a final desired solution, are common in engineering design. Although a variety of theoretical approaches to solving configuration design problems have been developed, little research has been conducted to observe how humans naturally attempt to solve such problems. This work mines the data from a cognitive study of configuration design to extract helpful design heuristics. The extraction of these heuristics is automated through the application of hidden Markov models. Results show that, for a truss configuration problem, designers proceed through four procedural states in solving configuration design problems, transitioning from topology design to shape and parameter design. High-performing designers are distinguished by their opportunistic tuning of parameters early in the process, enabling a heuristic search process similar to the A* search algorithm.},
author = {Christopher McComb and Jonathan Cagan and Kenneth Kotovsky},
citation = {International Conference on Engineering Design, 2017},
conference = {International Conference on Engineering Design},
pub_year = {2017},
title = {Eliciting Configuration Design Heuristics with Hidden Markov Models}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2017elicitingconfigurationdesign",
"abstract": "Configuration design problems, characterized by the selection and assembly of components into a final desired solution, are common in engineering design. Although a variety of theoretical approaches to solving configuration design problems have been developed, little research has been conducted to observe how humans naturally attempt to solve such problems. This work mines the data from a cognitive study of configuration design to extract helpful design heuristics. The extraction of these heuristics is automated through the application of hidden Markov models. Results show that, for a truss configuration problem, designers proceed through four procedural states in solving configuration design problems, transitioning from topology design to shape and parameter design. High-performing designers are distinguished by their opportunistic tuning of parameters early in the process, enabling a heuristic search process similar to the A* search algorithm.",
"author": "Christopher McComb and Jonathan Cagan and Kenneth Kotovsky",
"citation": "International Conference on Engineering Design, 2017",
"conference": "International Conference on Engineering Design",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2017,
"publisher": null,
"title": "Eliciting Configuration Design Heuristics with Hidden Markov Models",
"volume": null
} | 0P9w_S0AAAAJ:mVmsd5A6BfQC | 5 | /scholar?hl=en&cites=2218421599828095153 | [
"2218421599828095153"
] | https://www.designsociety.org/publication/39559/Eliciting+configuration+design+heuristics+with+hidden+Markov+models | /scholar?oi=bibs&hl=en&q=related:sbDO-7BqyR4J:scholar.google.com/ | null | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | [
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@article{mccomb2015heterogeneoussimulatedannealing,
abstract = {Although insights uncovered by design cognition are often utilized to develop the methods used by human designers, using such insights to inform computational methodologies also has the potential to improve the performance of design algorithms. This paper uses insights from research on design cognition and design teams to inform a better simulated annealing search algorithm. Simulated annealing has already been established as a model of individual problem solving. This paper introduces the Heterogeneous Simulated Annealing Team (HSAT) algorithm, a multi-agent simulated annealing algorithm. Each agent controls an adaptive annealing schedule, allowing the team develop heterogeneous search strategies. Such diversity is a natural part of engineering design, and boosts performance in other multi-agent algorithms. Further, interaction between agents in HSAT is structured to mimic interaction between members of a design team. Performance is compared to several other simulated annealing algorithms, a random search algorithm, and a gradient-based algorithm. Compared to other algorithms, the team-based HSAT algorithm returns better average results with lower variance.},
author = {Christopher McComb and Jonathan Cagan and Kenneth Kotovsky},
citation = {International Conference on Engineering Design, 2015},
conference = {International Conference on Engineering Design},
pub_year = {2015},
title = {Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2015heterogeneoussimulatedannealing",
"abstract": "Although insights uncovered by design cognition are often utilized to develop the methods used by human designers, using such insights to inform computational methodologies also has the potential to improve the performance of design algorithms. This paper uses insights from research on design cognition and design teams to inform a better simulated annealing search algorithm. Simulated annealing has already been established as a model of individual problem solving. This paper introduces the Heterogeneous Simulated Annealing Team (HSAT) algorithm, a multi-agent simulated annealing algorithm. Each agent controls an adaptive annealing schedule, allowing the team develop heterogeneous search strategies. Such diversity is a natural part of engineering design, and boosts performance in other multi-agent algorithms. Further, interaction between agents in HSAT is structured to mimic interaction between members of a design team. Performance is compared to several other simulated annealing algorithms, a random search algorithm, and a gradient-based algorithm. Compared to other algorithms, the team-based HSAT algorithm returns better average results with lower variance.",
"author": "Christopher McComb and Jonathan Cagan and Kenneth Kotovsky",
"citation": "International Conference on Engineering Design, 2015",
"conference": "International Conference on Engineering Design",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2015,
"publisher": null,
"title": "Heterogeneous Simulated Annealing Teams: An Optimizing Search Algorithm Inspired by Engineering Design Teams",
"volume": null
} | 0P9w_S0AAAAJ:LkGwnXOMwfcC | 5 | /scholar?hl=en&cites=10972653936116404705 | [
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@article{doctorarastoo2023modelinghumanbehavior,
abstract = { The concept of cyber-physical-social infrastructure systems (CPSISs) has been introduced to offer a paradigm shift necessary for including human-centered, or “social,” objectives in traditional cyber-physical systems (CPSs). In this paper we focus on one of the greatest challenges of developing CPSISs: modeling and predicting human behavior. Traditional approaches like rule-based models (e.g., agent-based models) and stochastic methods fall short in capturing the complex, multi-objective, and dynamic nature of human behavior. We propose the novel use of Hierarchical Imitation and Reinforcement Learning to combine the strengths of imitation learning and reinforcement learning for this purpose. This approach offers a cost-effective and efficient way of modeling human behavior, reducing reliance on extensive community surveys and expert opinions and instead supporting the integration of in-situ data. This …},
author = {Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb},
citation = {10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023},
conference = {10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
pub_year = {2023},
title = {Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems}
}
| {
"ENTRYTYPE": "article",
"ID": "doctorarastoo2023modelinghumanbehavior",
"abstract": " The concept of cyber-physical-social infrastructure systems (CPSISs) has been introduced to offer a paradigm shift necessary for including human-centered, or “social,” objectives in traditional cyber-physical systems (CPSs). In this paper we focus on one of the greatest challenges of developing CPSISs: modeling and predicting human behavior. Traditional approaches like rule-based models (e.g., agent-based models) and stochastic methods fall short in capturing the complex, multi-objective, and dynamic nature of human behavior. We propose the novel use of Hierarchical Imitation and Reinforcement Learning to combine the strengths of imitation learning and reinforcement learning for this purpose. This approach offers a cost-effective and efficient way of modeling human behavior, reducing reliance on extensive community surveys and expert opinions and instead supporting the integration of in-situ data. This …",
"author": "Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb",
"citation": "10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023",
"conference": "10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems",
"volume": null
} | 0P9w_S0AAAAJ:xtoqd-5pKcoC | 4 | /scholar?hl=en&cites=610083703951560537 | [
"610083703951560537"
] | https://dl.acm.org/doi/abs/10.1145/3600100.3626338 | /scholar?oi=bibs&hl=en&q=related:WY9JeeVzdwgJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 2 | [
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@article{alessa2023towardapermafrost,
abstract = {There has been a growth in the number of composite indicator tools used to assess community risk, vulnerability, and resilience, to assist study and policy planning. However, existing research shows that these composite indicators vary extensively in method, selected variables, aggregation methods, and sample size. The result is a plethora of qualitative and quantitative composite indices to choose from. Despite each providing valuable location-based information about specific communities and their qualities, the results of studies, each using disparate methods, cannot easily be integrated for use in decision making, given the different index attributes and study locations. Like many regions in the world, the Arctic is experiencing increased variability in temperatures as a direct consequence of a changing planetary climate. Cascading effects of changes in permafrost are poorly characterized, thus limiting response at multiple scales. We offer that by considering the spatial interaction between the effects of permafrost, infrastructure, and diverse patterns of community characteristics, existing research using different composite indices and frameworks can be augmented. We used a system-science and place-based knowledge approach that accounts for sub-system and cascade impacts through a proximity model of spatial interaction. An estimated ‘permafrost vulnerability surface’ was calculated across Alaska using two existing indices: relevant infrastructure and permafrost extent. The value of this surface in 186 communities and 30 military facilities was extracted and ordered to match the numerical rankings of the Denali Commission in their …},
author = {Lilian Alessa and James Valentine and Sean Moon and Christopher McComb and Sierra Hicks and Vladimir Romanovsky and Ming Xiao and Andrew Kliskey},
citation = {Geographies, 2023},
journal = {Geographies},
pub_year = {2023},
title = {Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security}
}
| {
"ENTRYTYPE": "article",
"ID": "alessa2023towardapermafrost",
"abstract": "There has been a growth in the number of composite indicator tools used to assess community risk, vulnerability, and resilience, to assist study and policy planning. However, existing research shows that these composite indicators vary extensively in method, selected variables, aggregation methods, and sample size. The result is a plethora of qualitative and quantitative composite indices to choose from. Despite each providing valuable location-based information about specific communities and their qualities, the results of studies, each using disparate methods, cannot easily be integrated for use in decision making, given the different index attributes and study locations. Like many regions in the world, the Arctic is experiencing increased variability in temperatures as a direct consequence of a changing planetary climate. Cascading effects of changes in permafrost are poorly characterized, thus limiting response at multiple scales. We offer that by considering the spatial interaction between the effects of permafrost, infrastructure, and diverse patterns of community characteristics, existing research using different composite indices and frameworks can be augmented. We used a system-science and place-based knowledge approach that accounts for sub-system and cascade impacts through a proximity model of spatial interaction. An estimated ‘permafrost vulnerability surface’ was calculated across Alaska using two existing indices: relevant infrastructure and permafrost extent. The value of this surface in 186 communities and 30 military facilities was extracted and ordered to match the numerical rankings of the Denali Commission in their …",
"author": "Lilian Alessa and James Valentine and Sean Moon and Christopher McComb and Sierra Hicks and Vladimir Romanovsky and Ming Xiao and Andrew Kliskey",
"citation": "Geographies, 2023",
"conference": null,
"journal": "Geographies",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Toward a Permafrost Vulnerability Index for Critical Infrastructure, Community Resilience and National Security",
"volume": null
} | 0P9w_S0AAAAJ:oNZyr7d5Mn4C | 4 | /scholar?hl=en&cites=5017123518173946843 | [
"5017123518173946843"
] | https://www.mdpi.com/2673-7086/3/3/27 | /scholar?oi=bibs&hl=en&q=related:2yMEB0JnoEUJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 4 | [
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@article{baldwin2023smoothingtherough,
abstract = {Additive manufacturing is advantageous for producing lightweight components while addressing complex design requirements. This capability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be beneficial to use multiple, distinct lattice cell types, resulting in multi-lattice structures. In such structures, abrupt transitions between unit cell topologies may cause stress concentrations, making the boundary between unit cell types a primary failure point. Thus, these regions require careful design to ensure the overall functionality of the part. Although computational design approaches have been proposed, smooth transition regions are still difficult to achieve, especially between lattices of drastically different topologies. This work demonstrates and assesses a method for using variational autoencoders to automate the creation of …},
author = {Martha Baldwin and Nicholas A Meisel and Christopher McComb},
citation = {3D Printing and Additive Manufacturing, 2023},
journal = {3D Printing and Additive Manufacturing},
pub_year = {2023},
title = {Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2023smoothingtherough",
"abstract": "Additive manufacturing is advantageous for producing lightweight components while addressing complex design requirements. This capability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be beneficial to use multiple, distinct lattice cell types, resulting in multi-lattice structures. In such structures, abrupt transitions between unit cell topologies may cause stress concentrations, making the boundary between unit cell types a primary failure point. Thus, these regions require careful design to ensure the overall functionality of the part. Although computational design approaches have been proposed, smooth transition regions are still difficult to achieve, especially between lattices of drastically different topologies. This work demonstrates and assesses a method for using variational autoencoders to automate the creation of …",
"author": "Martha Baldwin and Nicholas A Meisel and Christopher McComb",
"citation": "3D Printing and Additive Manufacturing, 2023",
"conference": null,
"journal": "3D Printing and Additive Manufacturing",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions",
"volume": null
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@article{rismiller2023exploringtheimpact,
abstract = {Set-based concurrent engineering (SBCE), a process that develops sets of many design candidates for each subproblem throughout a design project, proposes several benefits compared to point-based processes, where only one design candidate for each subproblem is chosen for further development. These benefits include reduced rework, improved design quality, and retention of knowledge to use in future projects. Previous studies that introduce SBCE in practice achieved success and had very positive future outlooks, but SBCE encounters opposition because its core procedures appear wasteful as designers must divide their time among many designs throughout the process, most of which are ultimately not used. The impacts of these procedures can be explored in detail through open-source computational tools, but currently few exist to do this. This work introduces the Point/Set-Organized Research Teams …},
author = {Sean Rismiller and Jonathan Cagan and Christopher McComb},
citation = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2023},
journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing},
pub_year = {2023},
title = {Exploring the Impact of Set-Based Concurrent Engineering Through Multi Agent System Simulation}
}
| {
"ENTRYTYPE": "article",
"ID": "rismiller2023exploringtheimpact",
"abstract": "Set-based concurrent engineering (SBCE), a process that develops sets of many design candidates for each subproblem throughout a design project, proposes several benefits compared to point-based processes, where only one design candidate for each subproblem is chosen for further development. These benefits include reduced rework, improved design quality, and retention of knowledge to use in future projects. Previous studies that introduce SBCE in practice achieved success and had very positive future outlooks, but SBCE encounters opposition because its core procedures appear wasteful as designers must divide their time among many designs throughout the process, most of which are ultimately not used. The impacts of these procedures can be explored in detail through open-source computational tools, but currently few exist to do this. This work introduces the Point/Set-Organized Research Teams …",
"author": "Sean Rismiller and Jonathan Cagan and Christopher McComb",
"citation": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2023",
"conference": null,
"journal": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Exploring the Impact of Set-Based Concurrent Engineering Through Multi Agent System Simulation",
"volume": null
} | 0P9w_S0AAAAJ:g3aElNc5_aQC | 4 | /scholar?hl=en&cites=17268071745527188551 | [
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@article{xu2023megaflow2d:aparametric,
abstract = { This paper introduces MegaFlow2D, a dataset of over 2 million snapshots of parameterized 2D fluid dynamics simulations of 3000 different external flow and internal flow configurations. It’s worth noting that, simulation results on both low and high mesh resolutions are provided to facilitate the training of machine learning (ML) models for super-resolution purposes. This is the first large-scale multi-fidelity fluid dynamics dataset ever provided. We build the entire data generation and simulation workflow on open-source and efficient interfaces that can be utilized for a variety of data samples according to the user’s specific needs. Finally, we provide a use case to demonstrate the potential value of the MegaFlow2D dataset in applications related to error correction.},
author = {Wenzhuo Xu and Noelia Grande Gutierrez and Christopher McComb},
citation = {2023 IEEE Workshop on Design Automation for CPS and IoT (DESTION), 2023},
conference = {2023 IEEE Workshop on Design Automation for CPS and IoT (DESTION)},
pub_year = {2023},
title = {MegaFlow2D: A Parametric Dataset for Machine Learning Super-resolution in Computational Fluid Dynamics Simulations}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2023megaflow2d:aparametric",
"abstract": " This paper introduces MegaFlow2D, a dataset of over 2 million snapshots of parameterized 2D fluid dynamics simulations of 3000 different external flow and internal flow configurations. It’s worth noting that, simulation results on both low and high mesh resolutions are provided to facilitate the training of machine learning (ML) models for super-resolution purposes. This is the first large-scale multi-fidelity fluid dynamics dataset ever provided. We build the entire data generation and simulation workflow on open-source and efficient interfaces that can be utilized for a variety of data samples according to the user’s specific needs. Finally, we provide a use case to demonstrate the potential value of the MegaFlow2D dataset in applications related to error correction.",
"author": "Wenzhuo Xu and Noelia Grande Gutierrez and Christopher McComb",
"citation": "2023 IEEE Workshop on Design Automation for CPS and IoT (DESTION), 2023",
"conference": "2023 IEEE Workshop on Design Automation for CPS and IoT (DESTION)",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "MegaFlow2D: A Parametric Dataset for Machine Learning Super-resolution in Computational Fluid Dynamics Simulations",
"volume": null
} | 0P9w_S0AAAAJ:L7CI7m0gUJcC | 4 | /scholar?hl=en&cites=2786162202637386568 | [
"2786162202637386568"
] | https://dl.acm.org/doi/abs/10.1145/3576914.3587552 | /scholar?oi=bibs&hl=en&q=related:SEPS9sJvqiYJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 4 | [
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@article{hu2023uncoveringhiddenpatterns,
abstract = {The study presented in this paper applies hidden Markov modeling (HMM) to uncover the recurring patterns within a neural activation dataset collected while designers engaged in a design concept generation task. HMM uses a probabilistic approach that describes data (here, fMRI neuroimaging data) as a dynamic sequence of discrete states. Without prior assumptions on the fMRI data's temporal and spatial properties, HMM enables an automatic inference on states in neurocognitive activation data that are highly likely to occur in concept generation. The states with a higher likelihood of occupancy show more activation in the brain regions from the executive control network, the default mode network, and the middle temporal cortex. Different activation patterns and transfers are associated with these states, linking to varying cognitive functions, for example, semantic processing, memory retrieval, executive control …},
author = {Mo Hu and Christopher McComb and Kosa Goucher-Lambert},
citation = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2023},
journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing},
pub_year = {2023},
title = {Uncovering Hidden Patterns of Design Ideation Using Hidden Markov Modeling and Neuroimaging}
}
| {
"ENTRYTYPE": "article",
"ID": "hu2023uncoveringhiddenpatterns",
"abstract": "The study presented in this paper applies hidden Markov modeling (HMM) to uncover the recurring patterns within a neural activation dataset collected while designers engaged in a design concept generation task. HMM uses a probabilistic approach that describes data (here, fMRI neuroimaging data) as a dynamic sequence of discrete states. Without prior assumptions on the fMRI data's temporal and spatial properties, HMM enables an automatic inference on states in neurocognitive activation data that are highly likely to occur in concept generation. The states with a higher likelihood of occupancy show more activation in the brain regions from the executive control network, the default mode network, and the middle temporal cortex. Different activation patterns and transfers are associated with these states, linking to varying cognitive functions, for example, semantic processing, memory retrieval, executive control …",
"author": "Mo Hu and Christopher McComb and Kosa Goucher-Lambert",
"citation": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2023",
"conference": null,
"journal": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Uncovering Hidden Patterns of Design Ideation Using Hidden Markov Modeling and Neuroimaging",
"volume": null
} | 0P9w_S0AAAAJ:vbGhcppDl1QC | 4 | /scholar?hl=en&cites=4600494425067675684 | [
"4600494425067675684"
] | https://www.cambridge.org/core/journals/ai-edam/article/uncovering-hidden-patterns-of-design-ideation-using-hidden-markov-modeling-and-neuroimaging/A09F0205F023241F9E052ADD63936ABA | /scholar?oi=bibs&hl=en&q=related:JOBSHU492D8J:scholar.google.com/ | null | null | null | null | null | null | null | null | 4 | [
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@article{toh2022dtmpast,present,,
abstract = {This paper describes the results of an agenda-setting panel session that took place at the 2021 International Design Engineering Technical Conferences organized by the Design Theory and Methodology (DTM) research community. While the state of design research in engineering design has advanced tremendously in the last thirty-five years since the formation of the DTM community, reflecting on the successes and challenges faced by this community revealed several key directions and opportunities that this community is well positioned to take. Namely, panelists and audience members in the session identified five new agenda items that have the potential to further strengthen research on Design Theory and Methodology: 1) Ethics, Equity, and Justice-focused design research, 2) Design for Sustainability research programs, and 3) Research on Computational Agents as team members in the design …},
author = {Christine Toh and Jonathan Cagan and Katherine Fu and Dan A. McAdams and Christopher McComb and Warren Seering and Deborah Thurston and Kristin Wood},
citation = {ASME 2022 International Design Engineering Technical Conferences and …, 2022},
conference = {ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2022},
title = {DTM Past, Present, and Future: Reflections on and by the Design Theory and Methodology Research Community}
}
| {
"ENTRYTYPE": "article",
"ID": "toh2022dtmpast,present,",
"abstract": "This paper describes the results of an agenda-setting panel session that took place at the 2021 International Design Engineering Technical Conferences organized by the Design Theory and Methodology (DTM) research community. While the state of design research in engineering design has advanced tremendously in the last thirty-five years since the formation of the DTM community, reflecting on the successes and challenges faced by this community revealed several key directions and opportunities that this community is well positioned to take. Namely, panelists and audience members in the session identified five new agenda items that have the potential to further strengthen research on Design Theory and Methodology: 1) Ethics, Equity, and Justice-focused design research, 2) Design for Sustainability research programs, and 3) Research on Computational Agents as team members in the design …",
"author": "Christine Toh and Jonathan Cagan and Katherine Fu and Dan A. McAdams and Christopher McComb and Warren Seering and Deborah Thurston and Kristin Wood",
"citation": "ASME 2022 International Design Engineering Technical Conferences and …, 2022",
"conference": "ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "DTM Past, Present, and Future: Reflections on and by the Design Theory and Methodology Research Community",
"volume": null
} | 0P9w_S0AAAAJ:VLnqNzywnoUC | 4 | /scholar?hl=en&cites=12425222524174562388 | [
"12425222524174562388"
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@article{zurita2022dataonthe,
abstract = {Human subject experiments are performed to evaluate the influence of artificial intelligence (AI) process management on human design teams solving a complex engineering problem and compare that to the influence of human process management. Participants are grouped into teams of five individuals and asked to generate a drone fleet and plan routes to deliver parcels to a given customer market. The teams are placed under the guidance of either a human or an AI external process manager. Halfway through the experiment, the customer market is changed unexpectedly, requiring teams to adjust their strategy. During the experiment, participants can create, evaluate, share their drone designs and delivery routes, and communicate with their team through a text chat tool using a collaborative research platform called HyForm. The research platform collects step-by-step logs of the actions made by and …},
author = {Nicolas F Soria Zurita and Joshua T. Gyory and Corey Balon and Jay Martin and Kenneth Kotovsky and Jonathan Cagan and Christopher McComb},
citation = {Data in Brief, 2022},
journal = {Data in Brief},
pub_year = {2022},
title = {Data on the Human versus Artificial Intelligence Process Management Experiment}
}
| {
"ENTRYTYPE": "article",
"ID": "zurita2022dataonthe",
"abstract": "Human subject experiments are performed to evaluate the influence of artificial intelligence (AI) process management on human design teams solving a complex engineering problem and compare that to the influence of human process management. Participants are grouped into teams of five individuals and asked to generate a drone fleet and plan routes to deliver parcels to a given customer market. The teams are placed under the guidance of either a human or an AI external process manager. Halfway through the experiment, the customer market is changed unexpectedly, requiring teams to adjust their strategy. During the experiment, participants can create, evaluate, share their drone designs and delivery routes, and communicate with their team through a text chat tool using a collaborative research platform called HyForm. The research platform collects step-by-step logs of the actions made by and …",
"author": "Nicolas F Soria Zurita and Joshua T. Gyory and Corey Balon and Jay Martin and Kenneth Kotovsky and Jonathan Cagan and Christopher McComb",
"citation": "Data in Brief, 2022",
"conference": null,
"journal": "Data in Brief",
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Data on the Human versus Artificial Intelligence Process Management Experiment",
"volume": null
} | 0P9w_S0AAAAJ:uLbwQdceFCQC | 4 | /scholar?hl=en&cites=8990301117976880430 | [
"8990301117976880430"
] | https://www.sciencedirect.com/science/article/pii/S2352340922001299 | /scholar?oi=bibs&hl=en&q=related:LiXP8Dv3w3wJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 2 | 1 | [
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@article{singh2021influencersindesign,
abstract = {It is known that wherever there is human interaction, there is social influence. Here, we refer to more influential individuals as “influencers”, who drive team processes for better or worst. Social influence gives rise to social learning, the propensity of humans to mimic the most influential individuals. As individual learning is affected by the presence of an influencer, so is an individual's idea generation . Examining this phenomenon through a series of human studies would require an enormous amount of time to study both individual and team behaviors that affect design outcomes. Hence, this paper provides an agent-based approach to study the effect of influencers during idea generation. This model is supported by the results of two empirical experiments which validate the assumptions and sustain the logic implemented in the model. The results of the model simulation make it possible to examine the impact of …},
author = {Harshika Singh and Gaetano Cascini and Christopher McComb},
citation = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2021},
journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing},
pub_year = {2021},
title = {Influencers in Design Teams: A Computational Framework to Study their Impact on Idea Generation}
}
| {
"ENTRYTYPE": "article",
"ID": "singh2021influencersindesign",
"abstract": "It is known that wherever there is human interaction, there is social influence. Here, we refer to more influential individuals as “influencers”, who drive team processes for better or worst. Social influence gives rise to social learning, the propensity of humans to mimic the most influential individuals. As individual learning is affected by the presence of an influencer, so is an individual's idea generation . Examining this phenomenon through a series of human studies would require an enormous amount of time to study both individual and team behaviors that affect design outcomes. Hence, this paper provides an agent-based approach to study the effect of influencers during idea generation. This model is supported by the results of two empirical experiments which validate the assumptions and sustain the logic implemented in the model. The results of the model simulation make it possible to examine the impact of …",
"author": "Harshika Singh and Gaetano Cascini and Christopher McComb",
"citation": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2021",
"conference": null,
"journal": "Artificial Intelligence for Engineering Design, Analysis and Manufacturing",
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Influencers in Design Teams: A Computational Framework to Study their Impact on Idea Generation",
"volume": null
} | 0P9w_S0AAAAJ:_B80troHkn4C | 4 | /scholar?hl=en&cites=13003783348956560774 | [
"13003783348956560774"
] | https://www.cambridge.org/core/journals/ai-edam/article/influencers-in-design-teams-a-computational-framework-to-study-their-impact-on-idea-generation/99273E9DECF351346BC176457C05D7F3 | /scholar?oi=bibs&hl=en&q=related:hv2xEg-4drQJ:scholar.google.com/ | null | null | null | null | null | null | 3 | 1 | null | [
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@article{singh2021comparingvirtualand,
abstract = {The ongoing COVID-19 pandemic has accelerated the acceptance of virtual team collaboration as a replacement for face-to-face collaboration. Unlike face-to-face collaboration, virtual collaboration has different factors like technology mediation influencing communication that affects a team’s processes. However, there is a lack of rigorous research that assesses the impact of virtual teaming on the engineering design process. Therefore, the current study investigates the effect of virtual team collaboration on design outcomes by means of the MILANO (Model of Influence, Learning, and Norms in Organizations) framework. To tailor MILANO for virtual collaboration, this paper first presents an empirical study of human design teams, that shows how the model parameters for face-to-face collaboration (like self-efficacy, perceived influencers, perceived degree of influence, trust and familiarity) must be modified. The …},
author = {Harshika Singh and Gaetano Cascini and Christopher McComb},
citation = {ASME 2021 International Design Engineering Technical Conferences and …, 2021},
conference = {ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2021},
title = {Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation}
}
| {
"ENTRYTYPE": "article",
"ID": "singh2021comparingvirtualand",
"abstract": "The ongoing COVID-19 pandemic has accelerated the acceptance of virtual team collaboration as a replacement for face-to-face collaboration. Unlike face-to-face collaboration, virtual collaboration has different factors like technology mediation influencing communication that affects a team’s processes. However, there is a lack of rigorous research that assesses the impact of virtual teaming on the engineering design process. Therefore, the current study investigates the effect of virtual team collaboration on design outcomes by means of the MILANO (Model of Influence, Learning, and Norms in Organizations) framework. To tailor MILANO for virtual collaboration, this paper first presents an empirical study of human design teams, that shows how the model parameters for face-to-face collaboration (like self-efficacy, perceived influencers, perceived degree of influence, trust and familiarity) must be modified. The …",
"author": "Harshika Singh and Gaetano Cascini and Christopher McComb",
"citation": "ASME 2021 International Design Engineering Technical Conferences and …, 2021",
"conference": "ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation",
"volume": null
} | 0P9w_S0AAAAJ:5ugPr518TE4C | 4 | /scholar?hl=en&cites=4640908025364007858 | [
"4640908025364007858"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2021/V006T06A022/1128542 | /scholar?oi=bibs&hl=en&q=related:sssUr0LRZ0AJ:scholar.google.com/ | null | null | null | null | null | 1 | 1 | 1 | 1 | [
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@article{krishnakumar2020comparingstudentand,
abstract = {The purpose of this work is to investigate the relationship between the disciplinary diversity of capstone design teams and perceptions of success and engineering design abilities. Capstone design programs are effective environments for students to collaborate with industry sponsors on authentic design problems. They provide students with the opportunity to hone their technical and professional skills, often in teams. Previous work has demonstrated that interdisciplinary teams outperform within-discipline teams on complex open-ended tasks, but struggle to communicate across disciplinary boundaries. They also report lower levels of team cohesion and satisfaction with final outcomes. The results of the mixed-methods study conducted with 58 capstone design teams for this paper indicate that team diversity may be inversely related to students’ beliefs in their abilities to construct a prototype. Preliminary …},
author = {Sandeep Krishnakumar and Catherine GP Berdanier and Christopher McComb and Matthew Parkinson and Jessica Menold},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Comparing Student and Sponsor Perceptions of Interdisciplinary Teams' Capstone Performance}
}
| {
"ENTRYTYPE": "article",
"ID": "krishnakumar2020comparingstudentand",
"abstract": "The purpose of this work is to investigate the relationship between the disciplinary diversity of capstone design teams and perceptions of success and engineering design abilities. Capstone design programs are effective environments for students to collaborate with industry sponsors on authentic design problems. They provide students with the opportunity to hone their technical and professional skills, often in teams. Previous work has demonstrated that interdisciplinary teams outperform within-discipline teams on complex open-ended tasks, but struggle to communicate across disciplinary boundaries. They also report lower levels of team cohesion and satisfaction with final outcomes. The results of the mixed-methods study conducted with 58 capstone design teams for this paper indicate that team diversity may be inversely related to students’ beliefs in their abilities to construct a prototype. Preliminary …",
"author": "Sandeep Krishnakumar and Catherine GP Berdanier and Christopher McComb and Matthew Parkinson and Jessica Menold",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Comparing Student and Sponsor Perceptions of Interdisciplinary Teams' Capstone Performance",
"volume": null
} | 0P9w_S0AAAAJ:1sJd4Hv_s6UC | 4 | /scholar?hl=en&cites=6321263028915233080 | [
"6321263028915233080"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2020/83921/1089795 | /scholar?oi=bibs&hl=en&q=related:OGFNujujuVcJ:scholar.google.com/ | null | null | null | null | null | 1 | 1 | 2 | null | [
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@article{singh2020modellingthedynamics,
abstract = {Social influence is not evenly distributed in teams. Some individuals, referred to here as influencers, become more influential than others. Consequentially, these influencers play a significant role in shaping project performance. The current work simulates the presence of influencers during idea generation in co-design teams to better understand emergent socio-cognitive phenomena. Besides providing, a novel approach for modelling learning in concept generation the model highlights the results related to individual cognition during idea generation. Idea quality and exploration of design space are affected by the presence of influencers in design teams. Teams with no well-defined influencers produce solutions with high general exploration but less quality. In contrast, the agents in the teams with only one influencer produce solutions high quality than those teams with no influencers.},
author = {Harshika Singh and Christopher McComb and Gaetano Cascini},
citation = {Ninth International Conference on Design Computing and Cognition, 2020},
conference = {Ninth International Conference on Design Computing and Cognition},
pub_year = {2020},
title = {Modelling the Dynamics of Influence on Individual Thinking During Idea Generation in Co-design Teams}
}
| {
"ENTRYTYPE": "article",
"ID": "singh2020modellingthedynamics",
"abstract": "Social influence is not evenly distributed in teams. Some individuals, referred to here as influencers, become more influential than others. Consequentially, these influencers play a significant role in shaping project performance. The current work simulates the presence of influencers during idea generation in co-design teams to better understand emergent socio-cognitive phenomena. Besides providing, a novel approach for modelling learning in concept generation the model highlights the results related to individual cognition during idea generation. Idea quality and exploration of design space are affected by the presence of influencers in design teams. Teams with no well-defined influencers produce solutions with high general exploration but less quality. In contrast, the agents in the teams with only one influencer produce solutions high quality than those teams with no influencers.",
"author": "Harshika Singh and Christopher McComb and Gaetano Cascini",
"citation": "Ninth International Conference on Design Computing and Cognition, 2020",
"conference": "Ninth International Conference on Design Computing and Cognition",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Modelling the Dynamics of Influence on Individual Thinking During Idea Generation in Co-design Teams",
"volume": null
} | 0P9w_S0AAAAJ:NhqRSupF_l8C | 4 | /scholar?hl=en&cites=3700083469728968912 | [
"3700083469728968912"
] | https://link.springer.com/chapter/10.1007/978-3-030-90625-2_3 | /scholar?oi=bibs&hl=en&q=related:0HB91E9WWTMJ:scholar.google.com/ | null | null | null | null | null | 4 | null | null | null | [
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@article{mccomb2016designingthecharacteristics,
abstract = {Teams are a ubiquitous part of the design process and a great deal of time and effort is devoted to managing them effectively. Although teams have the potential to search effectively for solutions, they are also prone to a number of pitfalls. Thus, a greater understanding of teams is necessary to ensure that they can function optimally across a variety of tasks. Teams are typically studied through controlled laboratory experiments or through longitudinal studies that observe teams in situ. However, both of these study types can be costly and time-consuming. Months, if not years, pass between the initial conception of a study and the final analysis of results. This work creates a computational framework that efficiently emulates human design teams, thus facilitating the derivation of a theory linking the properties of design problems to optimized team characteristics, effectively making it possible to design design teams.},
author = {Christopher McComb},
citation = {Carnegie Mellon University, 2016},
pub_year = {2016},
title = {Designing the Characteristics of Design Teams via Cognitively-Inspired Computational Modeling}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2016designingthecharacteristics",
"abstract": "Teams are a ubiquitous part of the design process and a great deal of time and effort is devoted to managing them effectively. Although teams have the potential to search effectively for solutions, they are also prone to a number of pitfalls. Thus, a greater understanding of teams is necessary to ensure that they can function optimally across a variety of tasks. Teams are typically studied through controlled laboratory experiments or through longitudinal studies that observe teams in situ. However, both of these study types can be costly and time-consuming. Months, if not years, pass between the initial conception of a study and the final analysis of results. This work creates a computational framework that efficiently emulates human design teams, thus facilitating the derivation of a theory linking the properties of design problems to optimized team characteristics, effectively making it possible to design design teams.",
"author": "Christopher McComb",
"citation": "Carnegie Mellon University, 2016",
"conference": null,
"journal": null,
"number": null,
"pages": null,
"pub_year": 2016,
"publisher": null,
"title": "Designing the Characteristics of Design Teams via Cognitively-Inspired Computational Modeling",
"volume": null
} | 0P9w_S0AAAAJ:aqlVkmm33-oC | 4 | /scholar?hl=en&cites=5532891011061825082 | [
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@article{mccomb2016scenario-basedrobustnessanalysis,
abstract = {Poverty affects hundreds of millions of people globally. Market-based strategies can help alleviate poverty in developing countries by encouraging entrepreneurial activity and have the potential to be more effective than traditional approaches, such as development aid from countries or non-governmental organizations. Development organizations often target the agricultural sector because of the prevalence of subsistence and small-scale farming, particularly in rural regions of developing countries. Improving the reliability of irrigation techniques can help farmers expand out of primarily subsistence farming and begin to sell a portion of their crop, thus achieving the objectives of market-based poverty alleviation. Human-powered pumps are a popular tool used in irrigation because they require low capital cost and negligible operating cost. Previous work provided a model for finding Pareto-optimal IDE-style treadle …},
author = {Christopher McComb and Nathan G Johnson and Brandon T Gorman},
citation = {ASME 2016 International Design Engineering Technical Conferences and …, 2016},
conference = {ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2016},
title = {Scenario-Based Robustness Analysis of Optimized I.D.E.-Style Treadle Pump Designs}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2016scenario-basedrobustnessanalysis",
"abstract": "Poverty affects hundreds of millions of people globally. Market-based strategies can help alleviate poverty in developing countries by encouraging entrepreneurial activity and have the potential to be more effective than traditional approaches, such as development aid from countries or non-governmental organizations. Development organizations often target the agricultural sector because of the prevalence of subsistence and small-scale farming, particularly in rural regions of developing countries. Improving the reliability of irrigation techniques can help farmers expand out of primarily subsistence farming and begin to sell a portion of their crop, thus achieving the objectives of market-based poverty alleviation. Human-powered pumps are a popular tool used in irrigation because they require low capital cost and negligible operating cost. Previous work provided a model for finding Pareto-optimal IDE-style treadle …",
"author": "Christopher McComb and Nathan G Johnson and Brandon T Gorman",
"citation": "ASME 2016 International Design Engineering Technical Conferences and …, 2016",
"conference": "ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2016,
"publisher": null,
"title": "Scenario-Based Robustness Analysis of Optimized I.D.E.-Style Treadle Pump Designs",
"volume": null
} | 0P9w_S0AAAAJ:4TOpqqG69KYC | 4 | /scholar?hl=en&cites=1434555928153429209 | [
"1434555928153429209"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2016/V004T05A026/258541 | /scholar?oi=bibs&hl=en&q=related:2RQEHASR6BMJ:scholar.google.com/ | null | null | 2 | 0 | 0 | 2 | null | null | null | [
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@article{mccomb2014identifyingtechnicaland,
abstract = {Water-lifting technologies in rural areas of the developing world have enormous potential to stimulate agricultural production and economic growth. The MoneyMaker Hip pump designed by Kickstart is a human-powered low cost pump, which can help subsistence farmers increase financial returns. This work optimizes the design of the MoneyMaker Hip pump, which is the cheapest and lightest portable water pump from Kickstart. A mathematical model of the working fluid and MoneyMaker Hip pump structure is developed. Deterministic optimization methods are then employed to maximize the flow rate of the groundwater pumped, maximize the lift height, and minimize the volume of material used for manufacturing. Design variables for the optimization included the dimensions of the pump, well depth, and speed of various parts of the system. The solutions are subject to constraints on the geometry of the system, the …},
author = {Christopher McComb and Pablo S. Santaeufemia and Nathan G. Johnson and Kenji Shimada},
citation = {IEEE Global Humanitarian Technology Conference, 2014},
conference = {IEEE Global Humanitarian Technology Conference},
pub_year = {2014},
title = {Identifying Technical and Economic Improvements to the MoneyMaker Hip Pump through Multi-Objective Optimization}
}
| {
"ENTRYTYPE": "article",
"ID": "mccomb2014identifyingtechnicaland",
"abstract": "Water-lifting technologies in rural areas of the developing world have enormous potential to stimulate agricultural production and economic growth. The MoneyMaker Hip pump designed by Kickstart is a human-powered low cost pump, which can help subsistence farmers increase financial returns. This work optimizes the design of the MoneyMaker Hip pump, which is the cheapest and lightest portable water pump from Kickstart. A mathematical model of the working fluid and MoneyMaker Hip pump structure is developed. Deterministic optimization methods are then employed to maximize the flow rate of the groundwater pumped, maximize the lift height, and minimize the volume of material used for manufacturing. Design variables for the optimization included the dimensions of the pump, well depth, and speed of various parts of the system. The solutions are subject to constraints on the geometry of the system, the …",
"author": "Christopher McComb and Pablo S. Santaeufemia and Nathan G. Johnson and Kenji Shimada",
"citation": "IEEE Global Humanitarian Technology Conference, 2014",
"conference": "IEEE Global Humanitarian Technology Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2014,
"publisher": null,
"title": "Identifying Technical and Economic Improvements to the MoneyMaker Hip Pump through Multi-Objective Optimization",
"volume": null
} | 0P9w_S0AAAAJ:eQOLeE2rZwMC | 4 | /scholar?hl=en&cites=13196060321140575324 | [
"13196060321140575324"
] | https://ieeexplore.ieee.org/abstract/document/6970302/ | /scholar?oi=bibs&hl=en&q=related:XAw2RPLSIbcJ:scholar.google.com/ | 1 | 0 | 2 | 1 | null | null | null | null | null | [
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@article{ma2024exploringthecapabilities,
abstract = {Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions, investigating the level of impact that parameter tuning and various prompt engineering techniques can have on the diversity of LLM-generated design solutions. Specifically, LLMs are used to generate a total of 4,000 design solutions across five distinct design topics, eight combinations of parameters, and eight different types of prompt engineering techniques, comparing each combination of parameter and prompt engineering method across four different diversity metrics. LLM-generated solutions are compared against 100 human-crowdsourced solutions in each design topic using the same set of diversity metrics. Results indicate that human-generated solutions consistently have greater diversity scores across all design topics. Using a post hoc logistic regression analysis we investigate whether these differences primarily exist at the semantic level. Results show that there is a divide in some design topics between humans and LLM-generated solutions, while others have no clear divide. Taken together, these results contribute to the understanding of LLMs' capabilities in generating a large volume of diverse design solutions and offer insights for future research that leverages LLMs to generate diverse design solutions for a broad range of design tasks (e.g., inspirational stimuli).},
author = {Kevin Ma and Daniele Grandi and Christopher McComb and Kosa Goucher-Lambert},
citation = {Journal of Computing and Information Science in Engineering, 2024},
journal = {Journal of Computing and Information Science in Engineering},
pub_year = {2024},
title = {Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions}
}
| {
"ENTRYTYPE": "article",
"ID": "ma2024exploringthecapabilities",
"abstract": "Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions, investigating the level of impact that parameter tuning and various prompt engineering techniques can have on the diversity of LLM-generated design solutions. Specifically, LLMs are used to generate a total of 4,000 design solutions across five distinct design topics, eight combinations of parameters, and eight different types of prompt engineering techniques, comparing each combination of parameter and prompt engineering method across four different diversity metrics. LLM-generated solutions are compared against 100 human-crowdsourced solutions in each design topic using the same set of diversity metrics. Results indicate that human-generated solutions consistently have greater diversity scores across all design topics. Using a post hoc logistic regression analysis we investigate whether these differences primarily exist at the semantic level. Results show that there is a divide in some design topics between humans and LLM-generated solutions, while others have no clear divide. Taken together, these results contribute to the understanding of LLMs' capabilities in generating a large volume of diverse design solutions and offer insights for future research that leverages LLMs to generate diverse design solutions for a broad range of design tasks (e.g., inspirational stimuli).",
"author": "Kevin Ma and Daniele Grandi and Christopher McComb and Kosa Goucher-Lambert",
"citation": "Journal of Computing and Information Science in Engineering, 2024",
"conference": null,
"journal": "Journal of Computing and Information Science in Engineering",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions",
"volume": null
} | 0P9w_S0AAAAJ:4hFrxpcac9AC | 3 | /scholar?hl=en&cites=17318409092138846832 | [
"17318409092138846832"
] | https://arxiv.org/abs/2405.02345 | /scholar?oi=bibs&hl=en&q=related:cMrU-09ZV_AJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 3 | [
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@article{doctorarastoo2024gnn-basedpredictivemodeling,
author = {Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb},
citation = {ASCE International Conference on Computing in Civil Engineering 2024, 2024},
conference = {ASCE International Conference on Computing in Civil Engineering 2024},
pub_year = {2024},
title = {GNN-based Predictive Modeling of Human Preferences in the Built Environment}
}
| {
"ENTRYTYPE": "article",
"ID": "doctorarastoo2024gnn-basedpredictivemodeling",
"abstract": null,
"author": "Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb",
"citation": "ASCE International Conference on Computing in Civil Engineering 2024, 2024",
"conference": "ASCE International Conference on Computing in Civil Engineering 2024",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "GNN-based Predictive Modeling of Human Preferences in the Built Environment",
"volume": null
} | 0P9w_S0AAAAJ:hCrLmN-GePgC | 3 | /scholar?hl=en&cites=4433464686102520965 | [
"4433464686102520965"
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@article{wang2023arcticgeohazardmapping,
abstract = {Civil engineers design buildings, roads, and utility pipelines in the Arctic to rest on firm frozen ground. But as permafrost thaws due to increased air temperature, the ground subsides and infrastructure fails. This paper assesses the current tools used for mapping Arctic geohazard for civil infrastructure planning in the warming Arctic. We formulate an integrated framework to inform science-based decisions and policymaking in response to the ongoing environmental changes. This study first conducts a systematic review of the Arctic geohazard mapping tools. Tools used for Arctic geohazard mapping fall into three categories: analytical or statistical equations for geohazard assessment, modeling approaches for predicting the extent of permafrost degradation, and remote and in-situ sensing for monitoring the natural and built environments and data collection. A description of these tools, along with their limitations and …},
author = {Ziyi Wang and Ming Xiao and Min Liew and Anne Jensen and Louise Farquharson and Vladimir Romanovsky and Dmitry Nicolsky and Christopher McComb and Benjamin M Jones and Xiong Zhang and Lilian Alessa},
citation = {Cold Regions Science and Technology, 103969, 2023},
pages = {103969},
pub_year = {2023},
publisher = {Elsevier},
title = {Arctic geohazard mapping tools for civil infrastructure planning: A systematic review}
}
| {
"ENTRYTYPE": "article",
"ID": "wang2023arcticgeohazardmapping",
"abstract": "Civil engineers design buildings, roads, and utility pipelines in the Arctic to rest on firm frozen ground. But as permafrost thaws due to increased air temperature, the ground subsides and infrastructure fails. This paper assesses the current tools used for mapping Arctic geohazard for civil infrastructure planning in the warming Arctic. We formulate an integrated framework to inform science-based decisions and policymaking in response to the ongoing environmental changes. This study first conducts a systematic review of the Arctic geohazard mapping tools. Tools used for Arctic geohazard mapping fall into three categories: analytical or statistical equations for geohazard assessment, modeling approaches for predicting the extent of permafrost degradation, and remote and in-situ sensing for monitoring the natural and built environments and data collection. A description of these tools, along with their limitations and …",
"author": "Ziyi Wang and Ming Xiao and Min Liew and Anne Jensen and Louise Farquharson and Vladimir Romanovsky and Dmitry Nicolsky and Christopher McComb and Benjamin M Jones and Xiong Zhang and Lilian Alessa",
"citation": "Cold Regions Science and Technology, 103969, 2023",
"conference": null,
"journal": null,
"number": null,
"pages": "103969",
"pub_year": 2023,
"publisher": "Elsevier",
"title": "Arctic geohazard mapping tools for civil infrastructure planning: A systematic review",
"volume": null
} | 0P9w_S0AAAAJ:k8Z6L05lTy4C | 3 | /scholar?hl=en&cites=8578882571701834759 | [
"8578882571701834759"
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@article{alzayed2023doesempathylead,
abstract = {Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has become more invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, defined here as the average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes during nominal group concept generation and early concept screening. Therefore, the goal of the current study is to investigate the impact of team empathy on nominal group concept generation and …},
author = {Mohammad Alsager Alzayed and Scarlett R Miller and Jessica Menold and Jacquelyn Huff and Christopher McComb},
citation = {AI EDAM 37, e23, 2023},
journal = {AI EDAM},
pages = {e23},
pub_year = {2023},
title = {Does empathy lead to creativity? A simulation-based investigation on the role of team trait empathy on nominal group concept generation and early concept screening},
volume = {37}
}
| {
"ENTRYTYPE": "article",
"ID": "alzayed2023doesempathylead",
"abstract": "Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has become more invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, defined here as the average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes during nominal group concept generation and early concept screening. Therefore, the goal of the current study is to investigate the impact of team empathy on nominal group concept generation and …",
"author": "Mohammad Alsager Alzayed and Scarlett R Miller and Jessica Menold and Jacquelyn Huff and Christopher McComb",
"citation": "AI EDAM 37, e23, 2023",
"conference": null,
"journal": "AI EDAM",
"number": null,
"pages": "e23",
"pub_year": 2023,
"publisher": null,
"title": "Does empathy lead to creativity? A simulation-based investigation on the role of team trait empathy on nominal group concept generation and early concept screening",
"volume": "37"
} | 0P9w_S0AAAAJ:S16KYo8Pm5AC | 3 | /scholar?hl=en&cites=594312068833984938 | [
"594312068833984938"
] | https://www.cambridge.org/core/journals/ai-edam/article/does-empathy-lead-to-creativity-a-simulationbased-investigation-on-the-role-of-team-trait-empathy-on-nominal-group-concept-generation-and-early-concept-screening/43A6BC4900EE47B7E91883A61890B824 | /scholar?oi=bibs&hl=en&q=related:qsGThK1rPwgJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 3 | [
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@article{nolte2022studentandinstructor,
abstract = {Engineering students in the United States are experiencing substantial stress and threats to their well-being. Mindfulness-based meditation practice may help students to better manage these challenges as mindfulness-based interventions have been found to improve college students’ well-being and critical competencies. However, only limited mindfulness-based research has been conducted with the engineering student population. Nonetheless, this research indicates that engineering students are receptive to mindfulness-based interventions and perceive benefits from participating in these practices. This work integrated mindfulness-based meditations into a first-year engineering design course to explore how these practices affect engineering students. All practices were formatted as five-minute guided seated meditations. These practices were implemented as part of two larger studies. During the first study, the …},
author = {Hannah Nolte and Elizabeth Starkey and Nicolas F Soria Zurita and Christopher McComb},
citation = {ASEE First Year Engineering Education Conference, 2022},
conference = {ASEE First Year Engineering Education Conference},
pub_year = {2022},
title = {Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course}
}
| {
"ENTRYTYPE": "article",
"ID": "nolte2022studentandinstructor",
"abstract": "Engineering students in the United States are experiencing substantial stress and threats to their well-being. Mindfulness-based meditation practice may help students to better manage these challenges as mindfulness-based interventions have been found to improve college students’ well-being and critical competencies. However, only limited mindfulness-based research has been conducted with the engineering student population. Nonetheless, this research indicates that engineering students are receptive to mindfulness-based interventions and perceive benefits from participating in these practices. This work integrated mindfulness-based meditations into a first-year engineering design course to explore how these practices affect engineering students. All practices were formatted as five-minute guided seated meditations. These practices were implemented as part of two larger studies. During the first study, the …",
"author": "Hannah Nolte and Elizabeth Starkey and Nicolas F Soria Zurita and Christopher McComb",
"citation": "ASEE First Year Engineering Education Conference, 2022",
"conference": "ASEE First Year Engineering Education Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course",
"volume": null
} | 0P9w_S0AAAAJ:0KyAp5RtaNEC | 3 | /scholar?hl=en&cites=15481530372063519708 | [
"15481530372063519708"
] | https://scholar.google.com/scholar?cluster=15481530372063519708&hl=en&oi=scholarr | /scholar?oi=bibs&hl=en&q=related:3GNERtlx2dYJ:scholar.google.com/ | null | null | null | null | null | null | null | 3 | null | [
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@article{gyory2022comparingnominaland,
abstract = {Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing that in some circumstances, individuals can outperform collaborative teams working on the same task. The current work extends these insights to novel team configurations in large interdisciplinary teams. In these team configurations, the meta-team as a whole can interact but the sub-teams within them may or may not. Here, team performance and process are studied within the context of a complex drone design and path-planning problem. Via a collaborative research platform called HyForm, communication and behavioral patterns can be tracked and analyzed throughout problem solving. This works shows that nominal sub-structured teams, where members work independently …},
author = {Joshua T Gyory and Nicolas F Soria Zurita and Jonathan Cagan and Christopher McComb},
citation = {ASME 2022 International Design Engineering Technical Conferences and …, 2022},
conference = {ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2022},
title = {Comparing Nominal and Interacting Sub-Structured Teams in an Interdisciplinary Engineering Design Task}
}
| {
"ENTRYTYPE": "article",
"ID": "gyory2022comparingnominaland",
"abstract": "Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing that in some circumstances, individuals can outperform collaborative teams working on the same task. The current work extends these insights to novel team configurations in large interdisciplinary teams. In these team configurations, the meta-team as a whole can interact but the sub-teams within them may or may not. Here, team performance and process are studied within the context of a complex drone design and path-planning problem. Via a collaborative research platform called HyForm, communication and behavioral patterns can be tracked and analyzed throughout problem solving. This works shows that nominal sub-structured teams, where members work independently …",
"author": "Joshua T Gyory and Nicolas F Soria Zurita and Jonathan Cagan and Christopher McComb",
"citation": "ASME 2022 International Design Engineering Technical Conferences and …, 2022",
"conference": "ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Comparing Nominal and Interacting Sub-Structured Teams in an Interdisciplinary Engineering Design Task",
"volume": null
} | 0P9w_S0AAAAJ:j8SEvjWlNXcC | 3 | /scholar?hl=en&cites=2235473182224370675 | [
"2235473182224370675"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2022/86267/1150527 | /scholar?oi=bibs&hl=en&q=related:80tl4wP_BR8J:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 1 | [
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@article{raina2022selflearningdesign,
abstract = {Building an AI agent that can design on its own has been a goal since the 1980s. Recently, deep learning has shown the ability to learn from large-scale data, enabling significant advances in data-driven design. However, learning over prior data limits us only to solve problems that have been solved before and biases us towards existing solutions. The ultimate goal for a design agent is the ability to learn generalizable design behavior in a problem space without having seen it before. We introduce a self-learning agent framework in this work that achieves this goal. This framework integrates a deep policy network with a novel tree search algorithm, where the tree search explores the problem space, and the deep policy network leverages self-generated experience to guide the search further. This framework first demonstrates an ability to discover high-performing generative strategies without any prior data …},
author = {Ayush Raina and Jonathan Cagan and Christopher McComb},
citation = {ASME 2022 International Design Engineering Technical Conferences and …, 2022},
conference = {ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2022},
title = {Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces}
}
| {
"ENTRYTYPE": "article",
"ID": "raina2022selflearningdesign",
"abstract": "Building an AI agent that can design on its own has been a goal since the 1980s. Recently, deep learning has shown the ability to learn from large-scale data, enabling significant advances in data-driven design. However, learning over prior data limits us only to solve problems that have been solved before and biases us towards existing solutions. The ultimate goal for a design agent is the ability to learn generalizable design behavior in a problem space without having seen it before. We introduce a self-learning agent framework in this work that achieves this goal. This framework integrates a deep policy network with a novel tree search algorithm, where the tree search explores the problem space, and the deep policy network leverages self-generated experience to guide the search further. This framework first demonstrates an ability to discover high-performing generative strategies without any prior data …",
"author": "Ayush Raina and Jonathan Cagan and Christopher McComb",
"citation": "ASME 2022 International Design Engineering Technical Conferences and …, 2022",
"conference": "ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces",
"volume": null
} | 0P9w_S0AAAAJ:-_dYPAW6P2MC | 3 | /scholar?hl=en&cites=1589443138957695775 | [
"1589443138957695775"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2022/86236/1150472 | /scholar?oi=bibs&hl=en&q=related:H1tBGB3WDhYJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | 1 | [
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@article{mahan2021whenthegoing,
abstract = {Crowdfunding platforms like Kickstarter provide new product developers with a novel and readily accessible platform to interact with potential customers, seek funding, and gain valuable feedback from target users. Successful startup design processes are often praised due to startups’ agility and ability to adapt to changing markets under extreme resource constraints. The COVID-19 pandemic changed the market in a number of significant ways, and publicly available data on Kickstarter provides valuable insight into the fundamental ways that product developers adapt to volatiles markets created by a global crisis. Leveraging linguistic analysis, topic modelling, k-means clustering, and principal component analysis, startup data was analyzed to identify overarching trends in startup launch campaigns across years. Specifically, this work identifies emerging trends in the Kickstarter market in 2020 to understand how …},
author = {Tobias Mahan and Pratima Saravanan and Sandeep Krishnakumar and Hannah Nolte and Christopher McComb and Jessica Menold},
citation = {ASME 2021 International Design Engineering Technical Conferences and …, 2021},
conference = {ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2021},
title = {When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020}
}
| {
"ENTRYTYPE": "article",
"ID": "mahan2021whenthegoing",
"abstract": "Crowdfunding platforms like Kickstarter provide new product developers with a novel and readily accessible platform to interact with potential customers, seek funding, and gain valuable feedback from target users. Successful startup design processes are often praised due to startups’ agility and ability to adapt to changing markets under extreme resource constraints. The COVID-19 pandemic changed the market in a number of significant ways, and publicly available data on Kickstarter provides valuable insight into the fundamental ways that product developers adapt to volatiles markets created by a global crisis. Leveraging linguistic analysis, topic modelling, k-means clustering, and principal component analysis, startup data was analyzed to identify overarching trends in startup launch campaigns across years. Specifically, this work identifies emerging trends in the Kickstarter market in 2020 to understand how …",
"author": "Tobias Mahan and Pratima Saravanan and Sandeep Krishnakumar and Hannah Nolte and Christopher McComb and Jessica Menold",
"citation": "ASME 2021 International Design Engineering Technical Conferences and …, 2021",
"conference": "ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020",
"volume": null
} | 0P9w_S0AAAAJ:XiVPGOgt02cC | 3 | /scholar?hl=en&cites=13128510350160351162 | [
"13128510350160351162"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2021/85420/1128531 | /scholar?oi=bibs&hl=en&q=related:us9YC5vWMbYJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 1 | 1 | [
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@article{luchini-colbry2019engineeringfutures:updating,
abstract = {Engineering Futures (EF) is a professional development program developed by Tau Beta Pi, the Engineering Honor Society, in the 1980s to provide undergraduate engineering students with the “soft skills” necessary for professional success. Originally, the EF program included a series of day-long, interactive workshops led by volunteer facilitators and hosted on-site at college campuses. The original sessions included People Skills (interpersonal problem communication and resolution); Team Chartering (understanding team dynamics); Group Process (tools for effective meetings); and Analytical Problem Solving (brainstorming, list reduction and evaluation criteria). Over the decades, the EF program adapted to meet the changing needs of undergraduate students, with options for shorter sessions and the addition of a module on Effective Presentation Skills in the early 2000s. In the 2010s, the EF program directors began to explore opportunities to expand the curriculum to address new challenges. A new partnership in 2015 led to the addition of two new modules: Equity, Inclusion & Engineering Ethics; and Research Mentoring. In 2017, Tau Beta Pi partnered with several other organizations in a successful proposal to the National Science Foundation to develop updated training materials focusing on communications, teamwork and leadership skills. These materials are being designed in a modular fashion that allows them to be adjusted for different audiences (undergraduates, graduate students, professionals) and the project includes funding for a “train the trainers” program that will enable the EF materials to be deployed nationally at little or …},
author = {Katy Luchini-Colbry and Christopher McComb and Julie Rojewski and Astri Briliyanti and Dirk Colbry},
citation = {Proceedings of the 2019 ASEE Annual Conference & Exposition, 2019},
journal = {Proceedings of the 2019 ASEE Annual Conference & Exposition},
pub_year = {2019},
title = {Engineering Futures: Updating a Successful Professional Development Program to Address New Challenges}
}
| {
"ENTRYTYPE": "article",
"ID": "luchini-colbry2019engineeringfutures:updating",
"abstract": "Engineering Futures (EF) is a professional development program developed by Tau Beta Pi, the Engineering Honor Society, in the 1980s to provide undergraduate engineering students with the “soft skills” necessary for professional success. Originally, the EF program included a series of day-long, interactive workshops led by volunteer facilitators and hosted on-site at college campuses. The original sessions included People Skills (interpersonal problem communication and resolution); Team Chartering (understanding team dynamics); Group Process (tools for effective meetings); and Analytical Problem Solving (brainstorming, list reduction and evaluation criteria). Over the decades, the EF program adapted to meet the changing needs of undergraduate students, with options for shorter sessions and the addition of a module on Effective Presentation Skills in the early 2000s. In the 2010s, the EF program directors began to explore opportunities to expand the curriculum to address new challenges. A new partnership in 2015 led to the addition of two new modules: Equity, Inclusion & Engineering Ethics; and Research Mentoring. In 2017, Tau Beta Pi partnered with several other organizations in a successful proposal to the National Science Foundation to develop updated training materials focusing on communications, teamwork and leadership skills. These materials are being designed in a modular fashion that allows them to be adjusted for different audiences (undergraduates, graduate students, professionals) and the project includes funding for a “train the trainers” program that will enable the EF materials to be deployed nationally at little or …",
"author": "Katy Luchini-Colbry and Christopher McComb and Julie Rojewski and Astri Briliyanti and Dirk Colbry",
"citation": "Proceedings of the 2019 ASEE Annual Conference & Exposition, 2019",
"conference": null,
"journal": "Proceedings of the 2019 ASEE Annual Conference & Exposition",
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Engineering Futures: Updating a Successful Professional Development Program to Address New Challenges",
"volume": null
} | 0P9w_S0AAAAJ:Tiz5es2fbqcC | 3 | /scholar?hl=en&cites=1921356021621892216 | [
"1921356021621892216"
] | https://par.nsf.gov/biblio/10122738 | /scholar?oi=bibs&hl=en&q=related:eKTUMx8HqhoJ:scholar.google.com/ | null | null | null | null | 1 | 1 | 1 | null | null | [
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@article{prakash2019ontheanalysis,
abstract = {3D printing systems have expanded the access to low cost, rapid methods for attaining physical prototypes or products. However, a cyber attack, system error, or operator error on a 3D printing system may result in catastrophic situations, ranging from complete product failure, to small types of defects which weaken the structural integrity of the product, making it unreliable for its intended use. Such defects can be introduced early-on via solid models or through G-codes for printer movements at a later stage. Previous works have studied the use of image classifiers to predict defects in real-time as a print is in progress and also by studying the printed entity once the print is complete. However, a major restriction in the functionality of these methods is the availability of a dataset capturing diverse attacks on printed entities or the printing process. This paper introduces a visual inspection technique that analyzes the …},
author = {Sakthi Kumar Arul Prakash and Tobias Mahan and Glen Williams and Christopher McComb and Jessica Menold and Conrad Tucker},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {On The Analysis Of A Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition}
}
| {
"ENTRYTYPE": "article",
"ID": "prakash2019ontheanalysis",
"abstract": "3D printing systems have expanded the access to low cost, rapid methods for attaining physical prototypes or products. However, a cyber attack, system error, or operator error on a 3D printing system may result in catastrophic situations, ranging from complete product failure, to small types of defects which weaken the structural integrity of the product, making it unreliable for its intended use. Such defects can be introduced early-on via solid models or through G-codes for printer movements at a later stage. Previous works have studied the use of image classifiers to predict defects in real-time as a print is in progress and also by studying the printed entity once the print is complete. However, a major restriction in the functionality of these methods is the availability of a dataset capturing diverse attacks on printed entities or the printing process. This paper introduces a visual inspection technique that analyzes the …",
"author": "Sakthi Kumar Arul Prakash and Tobias Mahan and Glen Williams and Christopher McComb and Jessica Menold and Conrad Tucker",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "On The Analysis Of A Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition",
"volume": null
} | 0P9w_S0AAAAJ:ldfaerwXgEUC | 3 | /scholar?hl=en&cites=14543663855301109241 | [
"14543663855301109241"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/59193/1069784 | /scholar?oi=bibs&hl=en&q=related:-SXpgzh51ckJ:scholar.google.com/ | null | null | null | null | 1 | 1 | 0 | 1 | null | [
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@article{chen2024capturinglocaltemperature,
abstract = {High-fidelity, data-driven models that can quickly simulate thermal behavior during additive manufacturing (AM) are crucial for improving the performance of AM technologies in multiple areas, such as part design, process planning, monitoring, and control. However, complexities of part geometries make it challenging for current models to maintain high accuracy across a wide range of geometries. In addition, many models report a low mean-square error (MSE) across the entire domain of a part. However, in each time-step, most areas of the domain do not experience significant changes in temperature, except for the regions near recent depositions. Therefore, the MSE-based fidelity measurement of the models may be overestimated. This article presents a data-driven model that uses the Fourier neural operator to capture the local temperature evolution during the AM process. Besides MSE, the model is also …},
author = {Jiangce Chen and Martha Xu and Wenzhuo and Baldwin and Bjorn Nijhuis and Ton van den Boogaard and Noelia Grande Gutierrez and Sneha Prabha Narra and Christopher McComb},
citation = {Journal of Manufacturing Science and Engineering, 2024},
journal = {Journal of Manufacturing Science and Engineering},
pub_year = {2024},
title = {Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators}
}
| {
"ENTRYTYPE": "article",
"ID": "chen2024capturinglocaltemperature",
"abstract": "High-fidelity, data-driven models that can quickly simulate thermal behavior during additive manufacturing (AM) are crucial for improving the performance of AM technologies in multiple areas, such as part design, process planning, monitoring, and control. However, complexities of part geometries make it challenging for current models to maintain high accuracy across a wide range of geometries. In addition, many models report a low mean-square error (MSE) across the entire domain of a part. However, in each time-step, most areas of the domain do not experience significant changes in temperature, except for the regions near recent depositions. Therefore, the MSE-based fidelity measurement of the models may be overestimated. This article presents a data-driven model that uses the Fourier neural operator to capture the local temperature evolution during the AM process. Besides MSE, the model is also …",
"author": "Jiangce Chen and Martha Xu and Wenzhuo and Baldwin and Bjorn Nijhuis and Ton van den Boogaard and Noelia Grande Gutierrez and Sneha Prabha Narra and Christopher McComb",
"citation": "Journal of Manufacturing Science and Engineering, 2024",
"conference": null,
"journal": "Journal of Manufacturing Science and Engineering",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators",
"volume": null
} | 0P9w_S0AAAAJ:FPJr55Dyh1AC | 2 | /scholar?hl=en&cites=7908100620396085321 | [
"7908100620396085321"
] | https://asmedigitalcollection.asme.org/manufacturingscience/article/146/9/091001/1199320 | /scholar?oi=bibs&hl=en&q=related:SUDBhp03v20J:scholar.google.com/ | null | null | null | null | null | null | null | null | 2 | [
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@article{martins2023skeleton-basedhumanaction,
abstract = { Thermal comfort optimization is key to ensuring the well-being of building occupants and promoting intelligent energy use in the built environment. In the current space of thermal comfort analysis, many techniques are used ranging from more intrusive wearable sensors and qualitative occupant surveys to less intrusive infrared thermal monitoring and human action recognition (HAR). However, as these methods increase surveillance of building occupants in often complex environments, privacy preservation and accurate analysis are essential for optimal thermal control. This paper focuses on uplifting the ability of skeleton-based HAR for use in thermal comfort-related action recognition as this method has been shown to have promising action recognition accuracy while maintaining user privacy. While we focus here on thermal comfort, our analysis and emphasis on the use and advancement of privacy-preserving …},
author = {John Martins and Katherine Flanigan and Christopher McComb},
citation = {10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023},
conference = {10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
pub_year = {2023},
title = {Skeleton-based Human Action Recognition in a Thermal Comfort Context}
}
| {
"ENTRYTYPE": "article",
"ID": "martins2023skeleton-basedhumanaction",
"abstract": " Thermal comfort optimization is key to ensuring the well-being of building occupants and promoting intelligent energy use in the built environment. In the current space of thermal comfort analysis, many techniques are used ranging from more intrusive wearable sensors and qualitative occupant surveys to less intrusive infrared thermal monitoring and human action recognition (HAR). However, as these methods increase surveillance of building occupants in often complex environments, privacy preservation and accurate analysis are essential for optimal thermal control. This paper focuses on uplifting the ability of skeleton-based HAR for use in thermal comfort-related action recognition as this method has been shown to have promising action recognition accuracy while maintaining user privacy. While we focus here on thermal comfort, our analysis and emphasis on the use and advancement of privacy-preserving …",
"author": "John Martins and Katherine Flanigan and Christopher McComb",
"citation": "10th ACM International Conference on Systems for Energy-Efficient Buildings …, 2023",
"conference": "10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Skeleton-based Human Action Recognition in a Thermal Comfort Context",
"volume": null
} | 0P9w_S0AAAAJ:Dip1O2bNi0gC | 2 | /scholar?hl=en&cites=13646694476003557735 | [
"13646694476003557735"
] | https://dl.acm.org/doi/abs/10.1145/3600100.3626339 | /scholar?oi=bibs&hl=en&q=related:Z0F6mFLMYr0J:scholar.google.com/ | null | null | null | null | null | null | null | 2 | null | [
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@article{nolte2023investigatingtherelationship,
abstract = {Mindfulness-based interventions (MBIs) for engineering design are promising for their stress management, cognition and well-being benefits. Prior work concluded that engineering design is stressful and that each engineering design stage has unique stressors. This non-randomized study investigated the effect of an MBI on students’ cognitive stress and final design creativity during a multistage, hands-on design assessment. Data were collected using surveys, project deliverables and follow-up interviews. While no significant increase was found in students’ measured state mindfulness due to the intervention, students in the MBI condition were more likely to perceive the intervention positively compared to students in the control condition (alternative use tasks). Students in both conditions were found to have similar levels of state stress, which indicates that the MBI had no observable effect on students’ measured …},
author = {Hannah Nolte and Nicolas F Soria Zurita and Elizabeth Starkey and Christopher McComb},
citation = {Design Science, 2023},
journal = {Design Science},
pub_year = {2023},
title = {Investigating the Relationship between Mindfulness, Stress, and Creativity in Introductory Engineering Design}
}
| {
"ENTRYTYPE": "article",
"ID": "nolte2023investigatingtherelationship",
"abstract": "Mindfulness-based interventions (MBIs) for engineering design are promising for their stress management, cognition and well-being benefits. Prior work concluded that engineering design is stressful and that each engineering design stage has unique stressors. This non-randomized study investigated the effect of an MBI on students’ cognitive stress and final design creativity during a multistage, hands-on design assessment. Data were collected using surveys, project deliverables and follow-up interviews. While no significant increase was found in students’ measured state mindfulness due to the intervention, students in the MBI condition were more likely to perceive the intervention positively compared to students in the control condition (alternative use tasks). Students in both conditions were found to have similar levels of state stress, which indicates that the MBI had no observable effect on students’ measured …",
"author": "Hannah Nolte and Nicolas F Soria Zurita and Elizabeth Starkey and Christopher McComb",
"citation": "Design Science, 2023",
"conference": null,
"journal": "Design Science",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Investigating the Relationship between Mindfulness, Stress, and Creativity in Introductory Engineering Design",
"volume": null
} | 0P9w_S0AAAAJ:gsN89kCJA0AC | 2 | /scholar?hl=en&cites=2371679976985029784 | [
"2371679976985029784"
] | https://www.cambridge.org/core/journals/design-science/article/investigating-the-relationship-between-mindfulness-stress-and-creativity-in-introductory-engineering-design/3AE037A4D6E5F3C20A0475BAA2C392E7 | /scholar?oi=bibs&hl=en&q=related:mGwZlV_m6SAJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 2 | [
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@article{gyory2023independenceorinteraction?,
abstract = {Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing that in some circumstances, individuals can outperform collaborative teams working on the same task. The current work extends these insights to novel team configurations in virtual, interdisciplinary teams. In these team configurations, the whole meta-team can interact, but the sub-teams within them may or may not. Here, team performance and process are studied within the context of a complex drone design and path-planning problem. Via a collaborative research platform called HyForm, communication and behavioral patterns can be tracked and analyzed throughout problem solving. This work shows that nominally inspired sub-structured teams, where members work …},
author = {Joshua T Gyory and Nicolas F Soria Zurita and Jonathan Cagan and Christopher McComb},
citation = {Journal of Mechanical Design, 2023},
journal = {Journal of Mechanical Design},
pub_year = {2023},
title = {Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task}
}
| {
"ENTRYTYPE": "article",
"ID": "gyory2023independenceorinteraction?",
"abstract": "Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing that in some circumstances, individuals can outperform collaborative teams working on the same task. The current work extends these insights to novel team configurations in virtual, interdisciplinary teams. In these team configurations, the whole meta-team can interact, but the sub-teams within them may or may not. Here, team performance and process are studied within the context of a complex drone design and path-planning problem. Via a collaborative research platform called HyForm, communication and behavioral patterns can be tracked and analyzed throughout problem solving. This work shows that nominally inspired sub-structured teams, where members work …",
"author": "Joshua T Gyory and Nicolas F Soria Zurita and Jonathan Cagan and Christopher McComb",
"citation": "Journal of Mechanical Design, 2023",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task",
"volume": null
} | 0P9w_S0AAAAJ:BwyfMAYsbu0C | 2 | /scholar?hl=en&cites=13865749778841223219 | [
"13865749778841223219"
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@article{zhao2023designforadvanced,
abstract = {Design and manufacturing are intimately coupled in the conceptualization and realization of products. Engineering design is regularly a key component of innovation and successful product development, yet promising designs that are very costly or challenging to manufacture may never be realized in practice. Advancement of manufacturing technologies tends to lower barriers to realization and expands design freedom but may also introduce unique restrictions on the design space. A clear example of this connection is the maturation of additive manufacturing technologies, which has created immense design freedom for both researchers and practitioners to explore. New capabilities, such as the ability to fabricate complex shapes, tailor materials and properties, and provide complex functionalities, present a whole new paradigm and a wider range of opportunities for intricately design, highly functional, cost …},
author = {Yaoyao Fiona Zhao and Stefanie Elgeti and James K. Guest and Christopher McComb and Julián Norato and Deepesh Toshniwal},
citation = {Journal of Mechanical Design, 2023},
journal = {Journal of Mechanical Design},
pub_year = {2023},
title = {Design for Advanced Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "zhao2023designforadvanced",
"abstract": "Design and manufacturing are intimately coupled in the conceptualization and realization of products. Engineering design is regularly a key component of innovation and successful product development, yet promising designs that are very costly or challenging to manufacture may never be realized in practice. Advancement of manufacturing technologies tends to lower barriers to realization and expands design freedom but may also introduce unique restrictions on the design space. A clear example of this connection is the maturation of additive manufacturing technologies, which has created immense design freedom for both researchers and practitioners to explore. New capabilities, such as the ability to fabricate complex shapes, tailor materials and properties, and provide complex functionalities, present a whole new paradigm and a wider range of opportunities for intricately design, highly functional, cost …",
"author": "Yaoyao Fiona Zhao and Stefanie Elgeti and James K. Guest and Christopher McComb and Julián Norato and Deepesh Toshniwal",
"citation": "Journal of Mechanical Design, 2023",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Design for Advanced Manufacturing",
"volume": null
} | 0P9w_S0AAAAJ:BUYA1_V_uYcC | 2 | /scholar?hl=en&cites=5566377163492948873 | [
"5566377163492948873"
] | https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/145/1/010301/1150058 | /scholar?oi=bibs&hl=en&q=related:ifvXy4m-P00J:scholar.google.com/ | null | null | null | null | null | null | null | 1 | 1 | [
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@article{singh2022ideaselectionin,
abstract = {Idea selection is crucial in design as it impacts the outcome of a project. A collaborative design activity could be considered as a social process where the interactions and individual states (such as the importance in the team and self-efficacy level) could affect decision-making. It is often seen in design teams that some individuals, referred to as ‘influencers’ in the article have more capacity to influence than others, hence they govern the team process for better or worse. Due to the limited work done in the past to study the effect of these influencers on design outcomes, the work aims at increasing the understanding by presenting some insights from its agent-based simulation. The simulation results show how different influencer team compositions affect design outcomes in terms of quality and exploration of the solutions. The idea selection starts with the agents who are ready with their solution in their ‘mind’. The work …},
author = {Harshika Singh and Gaetano Cascini and Christopher McComb},
citation = {Design Science, 2022},
journal = {Design Science},
pub_year = {2022},
title = {Idea Selection in Design Teams: A Computational Framework and Insights in the Presence of Influencers}
}
| {
"ENTRYTYPE": "article",
"ID": "singh2022ideaselectionin",
"abstract": "Idea selection is crucial in design as it impacts the outcome of a project. A collaborative design activity could be considered as a social process where the interactions and individual states (such as the importance in the team and self-efficacy level) could affect decision-making. It is often seen in design teams that some individuals, referred to as ‘influencers’ in the article have more capacity to influence than others, hence they govern the team process for better or worse. Due to the limited work done in the past to study the effect of these influencers on design outcomes, the work aims at increasing the understanding by presenting some insights from its agent-based simulation. The simulation results show how different influencer team compositions affect design outcomes in terms of quality and exploration of the solutions. The idea selection starts with the agents who are ready with their solution in their ‘mind’. The work …",
"author": "Harshika Singh and Gaetano Cascini and Christopher McComb",
"citation": "Design Science, 2022",
"conference": null,
"journal": "Design Science",
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Idea Selection in Design Teams: A Computational Framework and Insights in the Presence of Influencers",
"volume": null
} | 0P9w_S0AAAAJ:ipzZ9siozwsC | 2 | /scholar?hl=en&cites=8717743111828500240 | [
"8717743111828500240"
] | https://www.cambridge.org/core/journals/design-science/article/idea-selection-in-design-teams-a-computational-framework-and-insights-in-the-presence-of-influencers/512D96281C66AE86227406EDD62C0DA0 | /scholar?oi=bibs&hl=en&q=related:EG-l7yul-3gJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 0 | 1 | [
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@article{radwan2022towardscharacterizingcognitive,
abstract = {Problem solving is a crucial aspect of engineering design, and cognitive style, or preferred problem-solving style, is an important way to understand designers’ individual behavior. When there is significant misalignment between the problem frame and one’s cognitive style, it results in cognitive gaps. Large cognitive gaps may hinder effective problem solving. According to Kirton’s adaption-innovation theory, such gaps are managed through coping behavior. However, coping behavior is understudied in the literature, especially when assessing person-problem gaps. We argue that a deeper understanding of these gaps and its resulting coping strategies in problem solving can aid in facilitating effective design. Therefore, the current study was developed to understand how cognitive style and the problem frame impacts solution outcomes; and identify the design strategies and behaviors that are elicited by …},
author = {Noriana Radwan and Jessica Menold and Jesse McTernan and Kathryn Jablokow and Christopher McComb},
citation = {ASME 2022 International Design Engineering Technical Conferences and …, 2022},
conference = {ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2022},
title = {Towards Characterizing Cognitive Style Coping Behavior in Engineering Design}
}
| {
"ENTRYTYPE": "article",
"ID": "radwan2022towardscharacterizingcognitive",
"abstract": "Problem solving is a crucial aspect of engineering design, and cognitive style, or preferred problem-solving style, is an important way to understand designers’ individual behavior. When there is significant misalignment between the problem frame and one’s cognitive style, it results in cognitive gaps. Large cognitive gaps may hinder effective problem solving. According to Kirton’s adaption-innovation theory, such gaps are managed through coping behavior. However, coping behavior is understudied in the literature, especially when assessing person-problem gaps. We argue that a deeper understanding of these gaps and its resulting coping strategies in problem solving can aid in facilitating effective design. Therefore, the current study was developed to understand how cognitive style and the problem frame impacts solution outcomes; and identify the design strategies and behaviors that are elicited by …",
"author": "Noriana Radwan and Jessica Menold and Jesse McTernan and Kathryn Jablokow and Christopher McComb",
"citation": "ASME 2022 International Design Engineering Technical Conferences and …, 2022",
"conference": "ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Towards Characterizing Cognitive Style Coping Behavior in Engineering Design",
"volume": null
} | 0P9w_S0AAAAJ:uJ-U7cs_P_0C | 2 | /scholar?hl=en&cites=17429474098067130374 | [
"17429474098067130374"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2022/V006T06A035/1150502 | /scholar?oi=bibs&hl=en&q=related:BsgpzVju4fEJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 0 | 1 | [
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] | null | null |
@article{williams2022analyzingexpertdesign,
abstract = {Compared to conventional fabrication, additive manufacturing enables production of far more complex geometries with less tooling and increased automation. However, despite the common perception of AM’s “free” geometric complexity, this freedom comes with a literal cost: more complex geometries may be challenging to design, potentially manifesting as increased engineering labor cost. Being able to accurately predict design cost is essential to reliably forecasting large-scale design for additive manufacturing projects, especially for those using expensive processes like laser powder bed fusion of metals. However, no studies have quantitatively explored designers’ ability to complete this forecasting. In this study, we address this gap by analyzing the uncertainty of expert design cost estimation. First, we establish a methodology to translate computer-aided design data into descriptive vectors capturing …},
author = {Glen Williams and Nicholas A Meisel and Timothy W Simpson and Christopher McComb},
citation = {ASME 2022 International Design Engineering Technical Conferences and …, 2022},
conference = {ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2022},
title = {Analyzing Expert Design Cost Estimation for Additive Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "williams2022analyzingexpertdesign",
"abstract": "Compared to conventional fabrication, additive manufacturing enables production of far more complex geometries with less tooling and increased automation. However, despite the common perception of AM’s “free” geometric complexity, this freedom comes with a literal cost: more complex geometries may be challenging to design, potentially manifesting as increased engineering labor cost. Being able to accurately predict design cost is essential to reliably forecasting large-scale design for additive manufacturing projects, especially for those using expensive processes like laser powder bed fusion of metals. However, no studies have quantitatively explored designers’ ability to complete this forecasting. In this study, we address this gap by analyzing the uncertainty of expert design cost estimation. First, we establish a methodology to translate computer-aided design data into descriptive vectors capturing …",
"author": "Glen Williams and Nicholas A Meisel and Timothy W Simpson and Christopher McComb",
"citation": "ASME 2022 International Design Engineering Technical Conferences and …, 2022",
"conference": "ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Analyzing Expert Design Cost Estimation for Additive Manufacturing",
"volume": null
} | 0P9w_S0AAAAJ:fEOibwPWpKIC | 2 | /scholar?hl=en&cites=13629142575956012064 | [
"13629142575956012064"
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@article{karji2022identificationofthe,
abstract = {With the advancement of technology, many industries are improving their workflows and productivity by embracing digital transformation, and specifically data-centric approaches. Construction, however, is often slower to adopt new technology and innovations. A data-centric approach can enrich project delivery value and streamline processes through applications of data science and emerging innovations, such as artificial intelligence. This study aims to identify the barriers to adopting data-centric approaches in the construction industry. Initially, a literature review on Building Information Modeling (BIM) implementation identified 35 barriers. Next, the barriers were organized and refined to be more specific to a data-centric approach with the help of expert focus group meetings. Finally, the barriers were categorized based on experts’ opinions into five categories: Process, Information, Financial, People, and Risk. The …},
author = {Ali Karji and John Messner and Robert Leicht and Christopher McComb},
citation = {2022 Construction Research Congress, 2022},
conference = {2022 Construction Research Congress},
pub_year = {2022},
title = {Identification of the Barriers to Data-Centric Approach in the Construction Industry}
}
| {
"ENTRYTYPE": "article",
"ID": "karji2022identificationofthe",
"abstract": "With the advancement of technology, many industries are improving their workflows and productivity by embracing digital transformation, and specifically data-centric approaches. Construction, however, is often slower to adopt new technology and innovations. A data-centric approach can enrich project delivery value and streamline processes through applications of data science and emerging innovations, such as artificial intelligence. This study aims to identify the barriers to adopting data-centric approaches in the construction industry. Initially, a literature review on Building Information Modeling (BIM) implementation identified 35 barriers. Next, the barriers were organized and refined to be more specific to a data-centric approach with the help of expert focus group meetings. Finally, the barriers were categorized based on experts’ opinions into five categories: Process, Information, Financial, People, and Risk. The …",
"author": "Ali Karji and John Messner and Robert Leicht and Christopher McComb",
"citation": "2022 Construction Research Congress, 2022",
"conference": "2022 Construction Research Congress",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Identification of the Barriers to Data-Centric Approach in the Construction Industry",
"volume": null
} | 0P9w_S0AAAAJ:SdhP9T11ey4C | 2 | /scholar?hl=en&cites=617173559895281589 | [
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] | https://ascelibrary.org/doi/abs/10.1061/9780784483978.102 | /scholar?oi=bibs&hl=en&q=related:tU9SMhWkkAgJ:scholar.google.com/ | null | null | null | null | null | null | null | 1 | 1 | [
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@article{hicks2021agentsandthe,
abstract = {BackgroundPermafrost refers to land (soil, sand, rock, and ice) which has remained below 0 degrees Celsius for two or more consecutive years. Mostly found within polar regions and high mountain ranges, permafrost underlies nearly a quarter of the northern hemisphere, extending up to 1.7 kilometers into the Earth. Permafrost can be up to 70 percent ice, the thawing of which results in damage to the built environment and, ultimately, the lives of people who are part of Arctic communities. On a global scale, the thawing of permafrost complicates our ability to forecast climate change dynamics as organic materials preserved within it are broken down by bacteria, a process which releases carbon dioxide and methane into the atmosphere and accelerates global warming. The impacts range from affecting local livelihoods and lifestyles to the ability to maintain and deploy national defense assets. Such a complex system necessitates a more strategic approach if we are to make evidence-based decisions with respect to economies, infrastructure, food, energy and water security (FEWS), national response assets (eg, search and rescue, law enforcement, border protection, humanitarian response and community health and vitality), taxpayer burdens of re-locating remote communities whose sustainability is threatened by climate change and other variables, all of which are interdependent on social and behavioral actions at multiple scales.},
author = {Sierra Hicks and Lilian Alessa and Christopher McComb},
citation = {https://www.thearcticinstitute.org/agents-arctic-case-increased-use-agent …, 2021},
pub_year = {2021},
title = {Agents and the Arctic: The Case for Increased Use of Agent-Based Modeling to Study Permafrost}
}
| {
"ENTRYTYPE": "article",
"ID": "hicks2021agentsandthe",
"abstract": "BackgroundPermafrost refers to land (soil, sand, rock, and ice) which has remained below 0 degrees Celsius for two or more consecutive years. Mostly found within polar regions and high mountain ranges, permafrost underlies nearly a quarter of the northern hemisphere, extending up to 1.7 kilometers into the Earth. Permafrost can be up to 70 percent ice, the thawing of which results in damage to the built environment and, ultimately, the lives of people who are part of Arctic communities. On a global scale, the thawing of permafrost complicates our ability to forecast climate change dynamics as organic materials preserved within it are broken down by bacteria, a process which releases carbon dioxide and methane into the atmosphere and accelerates global warming. The impacts range from affecting local livelihoods and lifestyles to the ability to maintain and deploy national defense assets. Such a complex system necessitates a more strategic approach if we are to make evidence-based decisions with respect to economies, infrastructure, food, energy and water security (FEWS), national response assets (eg, search and rescue, law enforcement, border protection, humanitarian response and community health and vitality), taxpayer burdens of re-locating remote communities whose sustainability is threatened by climate change and other variables, all of which are interdependent on social and behavioral actions at multiple scales.",
"author": "Sierra Hicks and Lilian Alessa and Christopher McComb",
"citation": "https://www.thearcticinstitute.org/agents-arctic-case-increased-use-agent …, 2021",
"conference": null,
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Agents and the Arctic: The Case for Increased Use of Agent-Based Modeling to Study Permafrost",
"volume": null
} | 0P9w_S0AAAAJ:5awf1xo2G04C | 2 | /scholar?hl=en&cites=539536565146319569 | [
"539536565146319569"
] | https://par.nsf.gov/servlets/purl/10289556 | /scholar?oi=bibs&hl=en&q=related:0XrhvKXRfAcJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 1 | null | [
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@article{stump2021usingdeeplearning,
abstract = {Human subject experiments are often used in research efforts to understand human behavior in design. However, such research is often time-consuming, expensive, and limited in scope due to the need to experimentally control specific variables. This work develops an initial digital simulation of team-based multidisciplinary design, where the actions of individual team members are simulated using deep learning models trained on historical human design trends. The main benefit of this work is to simulate design session events and interactions without human participants, developing a complimentary method to rapidly perform digital team-based experiments. This research merges the benefits of purely data-driven modeling with minimal assumptions about process, along with the strengths of agent-based modeling in which it is possible to tailor agent behavior. Initial results show that the simulated design team …},
author = {Gary Stump and Michael Yukish and Jonathan Cagan and Christopher McComb},
citation = {ASME 2021 International Design Engineering Technical Conferences and …, 2021},
conference = {ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2021},
title = {Using Deep Learning to Simulate Multi-Disciplinary Design Teams}
}
| {
"ENTRYTYPE": "article",
"ID": "stump2021usingdeeplearning",
"abstract": "Human subject experiments are often used in research efforts to understand human behavior in design. However, such research is often time-consuming, expensive, and limited in scope due to the need to experimentally control specific variables. This work develops an initial digital simulation of team-based multidisciplinary design, where the actions of individual team members are simulated using deep learning models trained on historical human design trends. The main benefit of this work is to simulate design session events and interactions without human participants, developing a complimentary method to rapidly perform digital team-based experiments. This research merges the benefits of purely data-driven modeling with minimal assumptions about process, along with the strengths of agent-based modeling in which it is possible to tailor agent behavior. Initial results show that the simulated design team …",
"author": "Gary Stump and Michael Yukish and Jonathan Cagan and Christopher McComb",
"citation": "ASME 2021 International Design Engineering Technical Conferences and …, 2021",
"conference": "ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Using Deep Learning to Simulate Multi-Disciplinary Design Teams",
"volume": null
} | 0P9w_S0AAAAJ:wbdj-CoPYUoC | 2 | /scholar?hl=en&cites=8341719180501376238 | [
"8341719180501376238"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2021/85383/1128326 | /scholar?oi=bibs&hl=en&q=related:7tzY-WW9w3MJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 1 | null | [
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@article{rismiller2021anadversarialagent-based,
abstract = {Products must often endure challenging conditions while fulfilling their intended functions. Game-theoretic methods can readily create a wide variety of these conditions to consider when creating designs. This work introduces Cognitively Inspired Adversarial Agents (CIAAs) that use a Stackelberg game format to generate designs resistant to these conditions. These agents are used to generate designs while considering a multidimensional attack. Designs are produced under these adversarial conditions and compared to others generated without considering adversaries to confirm the agents’ performance. The agents create designs able to withstand multiple combined conditions.},
author = {Sean Rismiller and Jonathan Cagan and Christopher McComb},
citation = {Journal of Mechanical Design, 2021},
journal = {Journal of Mechanical Design},
pub_year = {2021},
title = {An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions}
}
| {
"ENTRYTYPE": "article",
"ID": "rismiller2021anadversarialagent-based",
"abstract": "Products must often endure challenging conditions while fulfilling their intended functions. Game-theoretic methods can readily create a wide variety of these conditions to consider when creating designs. This work introduces Cognitively Inspired Adversarial Agents (CIAAs) that use a Stackelberg game format to generate designs resistant to these conditions. These agents are used to generate designs while considering a multidimensional attack. Designs are produced under these adversarial conditions and compared to others generated without considering adversaries to confirm the agents’ performance. The agents create designs able to withstand multiple combined conditions.",
"author": "Sean Rismiller and Jonathan Cagan and Christopher McComb",
"citation": "Journal of Mechanical Design, 2021",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions",
"volume": null
} | 0P9w_S0AAAAJ:BrmTIyaxlBUC | 2 | /scholar?hl=en&cites=10057148794336144616 | [
"10057148794336144616"
] | https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/143/3/031714/1096685 | /scholar?oi=bibs&hl=en&q=related:6GynG4srkosJ:scholar.google.com/ | null | null | null | null | null | null | null | 2 | null | [
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@article{khanolkar2021image-baseddataon,
abstract = {The present article provides a compilation of microstructures and respective strain fields expressed by them during elastic loading. These microstructures were synthesized in Abaqus Standard software and their strain fields were modelled using Abaqus based static implicit analysis. The Python Development Environment (PDE) in Abaqus was used. These microstructures were subjected to uniform displacement boundary condition to obtain strain fields in the plane-strain mode. The purpose of the generating this data was to test the efficacy of convolutional neural networks (CNNs) in predicting strain fields. This raw data consisting of microstructure and their strain fields was converted to images using MATLAB as two dimensional arrays with each pixel denoting value to be used as input for training the CNN. This processed data in the form of images can be potentially used in deep learning or data science …},
author = {Pranav Milind Khanolkar and Saurabh Basu and Christopher McComb},
citation = {Data in Brief, 2021},
journal = {Data in Brief},
pub_year = {2021},
title = {Image-based Data on Strain Fields of Microstructures with Porosity Defects}
}
| {
"ENTRYTYPE": "article",
"ID": "khanolkar2021image-baseddataon",
"abstract": "The present article provides a compilation of microstructures and respective strain fields expressed by them during elastic loading. These microstructures were synthesized in Abaqus Standard software and their strain fields were modelled using Abaqus based static implicit analysis. The Python Development Environment (PDE) in Abaqus was used. These microstructures were subjected to uniform displacement boundary condition to obtain strain fields in the plane-strain mode. The purpose of the generating this data was to test the efficacy of convolutional neural networks (CNNs) in predicting strain fields. This raw data consisting of microstructure and their strain fields was converted to images using MATLAB as two dimensional arrays with each pixel denoting value to be used as input for training the CNN. This processed data in the form of images can be potentially used in deep learning or data science …",
"author": "Pranav Milind Khanolkar and Saurabh Basu and Christopher McComb",
"citation": "Data in Brief, 2021",
"conference": null,
"journal": "Data in Brief",
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Image-based Data on Strain Fields of Microstructures with Porosity Defects",
"volume": null
} | 0P9w_S0AAAAJ:5Ul4iDaHHb8C | 2 | /scholar?hl=en&cites=3062297542515732947 | [
"3062297542515732947"
] | https://www.sciencedirect.com/science/article/pii/S2352340920315079 | /scholar?oi=bibs&hl=en&q=related:07Ez4mN3fyoJ:scholar.google.com/ | null | null | null | null | null | 1 | 1 | null | null | [
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@article{alzayed2020composingdiversedesign,
abstract = {Empathy is known to help engineering designers develop a deeper understanding of the users’ needs. However, prior research on individuals has identified that individual differences, such as personality traits and risk-taking attributes, could significantly impact designer’s empathy. While this prior research provides a context for why individual differences may impact a designer’s empathy, engineering design activities are typically deployed in teams, and thus a team-centered view of empathy is also needed. As such, the goal of the current study was to investigate the role of the diversity in personality traits and risk-taking attitudes in impacting team empathy in engineering design. This was accomplished through a computational simulation of 13,482 teams generated by a statistical bootstrapping technique drawing upon a data set from 103 first-year engineering students. When composing highly empathic teams, the …},
author = {Mohammad Alsager Alzayed and Scarlett R Miller and Christopher McComb},
citation = {Design Computing and Cognition’20, 509, 2020},
journal = {Design Computing and Cognition’20},
pages = {509},
pub_year = {2020},
title = {Composing Diverse Design Teams: A Simulation-Based Investigation on the Role of Personality Traits and Risk-Taking Attitudes on Team Empathy}
}
| {
"ENTRYTYPE": "article",
"ID": "alzayed2020composingdiversedesign",
"abstract": "Empathy is known to help engineering designers develop a deeper understanding of the users’ needs. However, prior research on individuals has identified that individual differences, such as personality traits and risk-taking attributes, could significantly impact designer’s empathy. While this prior research provides a context for why individual differences may impact a designer’s empathy, engineering design activities are typically deployed in teams, and thus a team-centered view of empathy is also needed. As such, the goal of the current study was to investigate the role of the diversity in personality traits and risk-taking attitudes in impacting team empathy in engineering design. This was accomplished through a computational simulation of 13,482 teams generated by a statistical bootstrapping technique drawing upon a data set from 103 first-year engineering students. When composing highly empathic teams, the …",
"author": "Mohammad Alsager Alzayed and Scarlett R Miller and Christopher McComb",
"citation": "Design Computing and Cognition’20, 509, 2020",
"conference": null,
"journal": "Design Computing and Cognition’20",
"number": null,
"pages": "509",
"pub_year": 2020,
"publisher": null,
"title": "Composing Diverse Design Teams: A Simulation-Based Investigation on the Role of Personality Traits and Risk-Taking Attitudes on Team Empathy",
"volume": null
} | 0P9w_S0AAAAJ:ZfRJV9d4-WMC | 2 | /scholar?hl=en&cites=18190803497771698800 | [
"18190803497771698800"
] | https://link.springer.com/chapter/10.1007/978-3-030-90625-2_30 | /scholar?oi=bibs&hl=en&q=related:cIqd92a3cvwJ:scholar.google.com/ | null | null | null | null | null | null | null | 1 | 1 | [
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@article{radwan2020usingadaption-innovationtheory,
abstract = {Creative design is often accomplished through teams, and the specific composition of those teams can limit or enhance the sum creativity. However, it is not known how team composition is related to a team’s ability to achieve good solutions over various problems (ie, robustness). Here, we build that relationship between composition and robustness through a series of agent-based simulations. The factor that we specifically investigate is cognitive style, which describes the manner in which individuals solve problems and present solutions in social interactions based on cognitive processes. Under Kirton’s Adaption Innovation (KAI) Theory, cognitive style is related to creativity. Specifically, an individual’s KAI score, the defining measure of cognitive style, describes the degree to which they prefer high-utility solutions, or high-novelty solutions–the two necessary conditions for creativity. In many cases the long-term success of a team is closely tied to their ability to perform consistently well across multiple design problems, termed robustness. Leveraging computational agents, we use adaption-innovation theory as the primary factor to examine robustness among homogenous and heterogeneous agents. Different approaches to composing teams with homogenous and heterogeneous cognitive styles did not substantially impact robustness. However, the average robustness of the teams improved as team size increased.},
author = {Noriana Radwan and Christopher McComb},
citation = {Proceedings of the 11th International Conference on Computational Creativity, 2020},
conference = {Proceedings of the 11th International Conference on Computational Creativity},
pub_year = {2020},
title = {Using Adaption-Innovation Theory to Simulate Robustness in Design Teams}
}
| {
"ENTRYTYPE": "article",
"ID": "radwan2020usingadaption-innovationtheory",
"abstract": "Creative design is often accomplished through teams, and the specific composition of those teams can limit or enhance the sum creativity. However, it is not known how team composition is related to a team’s ability to achieve good solutions over various problems (ie, robustness). Here, we build that relationship between composition and robustness through a series of agent-based simulations. The factor that we specifically investigate is cognitive style, which describes the manner in which individuals solve problems and present solutions in social interactions based on cognitive processes. Under Kirton’s Adaption Innovation (KAI) Theory, cognitive style is related to creativity. Specifically, an individual’s KAI score, the defining measure of cognitive style, describes the degree to which they prefer high-utility solutions, or high-novelty solutions–the two necessary conditions for creativity. In many cases the long-term success of a team is closely tied to their ability to perform consistently well across multiple design problems, termed robustness. Leveraging computational agents, we use adaption-innovation theory as the primary factor to examine robustness among homogenous and heterogeneous agents. Different approaches to composing teams with homogenous and heterogeneous cognitive styles did not substantially impact robustness. However, the average robustness of the teams improved as team size increased.",
"author": "Noriana Radwan and Christopher McComb",
"citation": "Proceedings of the 11th International Conference on Computational Creativity, 2020",
"conference": "Proceedings of the 11th International Conference on Computational Creativity",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Using Adaption-Innovation Theory to Simulate Robustness in Design Teams",
"volume": null
} | 0P9w_S0AAAAJ:l7t_Zn2s7bgC | 2 | /scholar?hl=en&cites=6997655030574436238 | [
"6997655030574436238"
] | https://computationalcreativity.net/iccc20/papers/129-iccc20.pdf | /scholar?oi=bibs&hl=en&q=related:jk8d1iyqHGEJ:scholar.google.com/ | null | null | null | null | null | 2 | null | null | null | [
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@article{park2020emergenceofengineering,
abstract = {In engineering education, the goal is not only to teach the technical engineering skills but to positively influence the formation of students’ engineering identity to enhance future success. Often, first-year engineering classes that have a large formative role in students’ academic careers are taught using a project-based learning approach. However, the effect of such courses on the growth and development of students’ engineering identity, and in turn their design cognition, has not been studied in detail. This work studied the growth of engineering identity of 15 weeks in one such course. Engineering identity was assessed through several engineering identity instruments as well as the use of natural language processing.},
author = {Jongho John Park and Elizabeth Starkey and Nathan Choe and Christopher McComb},
citation = {Ninth International Conference on Design Computing and Cognition, 2020},
conference = {Ninth International Conference on Design Computing and Cognition},
pub_year = {2020},
title = {Emergence of Engineering Design Self-efficacy in Engineering Identity Development}
}
| {
"ENTRYTYPE": "article",
"ID": "park2020emergenceofengineering",
"abstract": "In engineering education, the goal is not only to teach the technical engineering skills but to positively influence the formation of students’ engineering identity to enhance future success. Often, first-year engineering classes that have a large formative role in students’ academic careers are taught using a project-based learning approach. However, the effect of such courses on the growth and development of students’ engineering identity, and in turn their design cognition, has not been studied in detail. This work studied the growth of engineering identity of 15 weeks in one such course. Engineering identity was assessed through several engineering identity instruments as well as the use of natural language processing.",
"author": "Jongho John Park and Elizabeth Starkey and Nathan Choe and Christopher McComb",
"citation": "Ninth International Conference on Design Computing and Cognition, 2020",
"conference": "Ninth International Conference on Design Computing and Cognition",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Emergence of Engineering Design Self-efficacy in Engineering Identity Development",
"volume": null
} | 0P9w_S0AAAAJ:u9iWguZQMMsC | 2 | /scholar?hl=en&cites=15082224007547456160 | [
"15082224007547456160"
] | https://link.springer.com/chapter/10.1007/978-3-030-90625-2_31 | /scholar?oi=bibs&hl=en&q=related:oAq8aNPSTtEJ:scholar.google.com/ | null | null | null | null | null | null | 1 | 1 | null | [
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@article{nolte2020comparisonofexams,
abstract = {In response to calls for engineering programs to better prepare students for future careers, many institutions offer courses with a design component to first-year engineering students. This work proposes that traditional exam-based assessments of design concepts are inadequate, and alternative forms of assessment are needed to assess student learning in design courses. This paper investigates the self-efficacy differences between a traditional exam and a two-part practicum as a mid-semester assessment for introductory engineering students enrolled in a first-year design course. Increased self-efficacy has been linked to various positive student outcomes and increased retention of underrepresented students. The practicum consisted of an in-class team design task and an out-of-class individual reflection, while the exam was a traditional, individual written exam. All students completed a pre-assessment …},
author = {Hannah Nolte and Catherine GP Berdanier and Jessica Menold and Christopher McComb},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses}
}
| {
"ENTRYTYPE": "article",
"ID": "nolte2020comparisonofexams",
"abstract": "In response to calls for engineering programs to better prepare students for future careers, many institutions offer courses with a design component to first-year engineering students. This work proposes that traditional exam-based assessments of design concepts are inadequate, and alternative forms of assessment are needed to assess student learning in design courses. This paper investigates the self-efficacy differences between a traditional exam and a two-part practicum as a mid-semester assessment for introductory engineering students enrolled in a first-year design course. Increased self-efficacy has been linked to various positive student outcomes and increased retention of underrepresented students. The practicum consisted of an in-class team design task and an out-of-class individual reflection, while the exam was a traditional, individual written exam. All students completed a pre-assessment …",
"author": "Hannah Nolte and Catherine GP Berdanier and Jessica Menold and Christopher McComb",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses",
"volume": null
} | 0P9w_S0AAAAJ:P5F9QuxV20EC | 2 | /scholar?hl=en&cites=7753498470773515715 | [
"7753498470773515715"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2020/83921/1089792 | /scholar?oi=bibs&hl=en&q=related:w2X9hMf1mWsJ:scholar.google.com/ | null | null | null | null | null | 2 | null | null | null | [
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@article{bayrak2019adifferentialgame,
abstract = {Partnership between humans and computers has a significant potential to extend the ability of humans to address complex design problems. This paper presents a decision-making process for computers to effectively collaborate with humans in the solution of complex problems under dynamic competition. In the proposed process, the computers learn strategies and objectives from prior experimental data and provide strategy suggestions to human collaborators. The study integrates clustering and sequential learning methods from machine learning with a differential game formulation based on model predictive control to find dynamic Nash equilibrium solutions to zero-sum games. The application of the proposed approach is demonstrated on the real-time strategy game Starcraft II that offers a dynamic competitive problem comparable in complexity to real-world applications. The results show that the proposed …},
author = {Alparslan Emrah Bayrak and Christopher McComb and Jonathan Cagan and Kenneth Kotovsky},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration}
}
| {
"ENTRYTYPE": "article",
"ID": "bayrak2019adifferentialgame",
"abstract": "Partnership between humans and computers has a significant potential to extend the ability of humans to address complex design problems. This paper presents a decision-making process for computers to effectively collaborate with humans in the solution of complex problems under dynamic competition. In the proposed process, the computers learn strategies and objectives from prior experimental data and provide strategy suggestions to human collaborators. The study integrates clustering and sequential learning methods from machine learning with a differential game formulation based on model predictive control to find dynamic Nash equilibrium solutions to zero-sum games. The application of the proposed approach is demonstrated on the real-time strategy game Starcraft II that offers a dynamic competitive problem comparable in complexity to real-world applications. The results show that the proposed …",
"author": "Alparslan Emrah Bayrak and Christopher McComb and Jonathan Cagan and Kenneth Kotovsky",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration",
"volume": null
} | 0P9w_S0AAAAJ:NaGl4SEjCO4C | 2 | /scholar?hl=en&cites=901202854839565969 | [
"901202854839565969"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/V007T06A017/1070159 | /scholar?oi=bibs&hl=en&q=related:kb5HwTi3gQwJ:scholar.google.com/ | null | null | null | null | null | 2 | null | null | null | [
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@article{banerjee2019complexityreductionin,
abstract = {Mass customization provides a way to satisfy an increasing number of customers by tailoring product details to their preferences. Moreover, there is a considerable amount of pressure on industries that embrace mass customization in their product portfolios to consistently produce innovative and market defining technology. To ease this pressure, this study offers organizations a perspective on what combination of attributes is most influential on choice when approaching decision support for the purchase of a Configure-to-Order product. Laptops are used here as a case study, but the approach is generalizable to any family of products. This approach first uses metrics gained from a modified conjoint analysis applied to data gathered from a student consumer base. Customer satisfaction is measured as a function of how many product offerings are provided, identifying and quantifying a trade-off between …},
author = {Jai Banerjee and Madura Mundale and Adnan Sachche and Christopher McComb},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {Complexity Reduction in Mass Customization To Facilitate Better Decision Support}
}
| {
"ENTRYTYPE": "article",
"ID": "banerjee2019complexityreductionin",
"abstract": "Mass customization provides a way to satisfy an increasing number of customers by tailoring product details to their preferences. Moreover, there is a considerable amount of pressure on industries that embrace mass customization in their product portfolios to consistently produce innovative and market defining technology. To ease this pressure, this study offers organizations a perspective on what combination of attributes is most influential on choice when approaching decision support for the purchase of a Configure-to-Order product. Laptops are used here as a case study, but the approach is generalizable to any family of products. This approach first uses metrics gained from a modified conjoint analysis applied to data gathered from a student consumer base. Customer satisfaction is measured as a function of how many product offerings are provided, identifying and quantifying a trade-off between …",
"author": "Jai Banerjee and Madura Mundale and Adnan Sachche and Christopher McComb",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Complexity Reduction in Mass Customization To Facilitate Better Decision Support",
"volume": null
} | 0P9w_S0AAAAJ:RGFaLdJalmkC | 2 | /scholar?hl=en&cites=14867717886188284749 | [
"14867717886188284749"
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@article{meisel2019creationandimplementation,
abstract = {Introduction to Engineering Design (EDSGN 100) acts as a gateway engineering course for over 3800 students across 20 Penn State campuses each year. Recently, the course has incorporated six educational modules, which cover topics from creativity to professional communication to making. However, these modules require a unifying experience so that the students are able to perceive how the content from the individual modules coalesces to form the unique identity of an engineer. To address this need, a new framework is proposed to guide the creation and implementation of an 8-week long design challenge within EDSGN 100. This framework identifies a series of 8 project characteristics necessary to create a clear connection between the content from each of the individual modules and the successful execution of a world-class engineering design project. This ensures that faculty-developed design projects are of an appropriate scope and context in order to provide proper scaffolding to support the six individual educational modules. This paper demonstrates how such a framework can be applied to both create new projects for the course, as well as redesign existing projects to better meet course goals and incorporate module content.},
author = {Nicholas A Meisel and Christopher McComb and Jessica Menold and Sarah Ritter},
citation = {ASEE First-Year Engineering Education Conference, 2019},
conference = {ASEE First-Year Engineering Education Conference},
pub_year = {2019},
title = {Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design}
}
| {
"ENTRYTYPE": "article",
"ID": "meisel2019creationandimplementation",
"abstract": "Introduction to Engineering Design (EDSGN 100) acts as a gateway engineering course for over 3800 students across 20 Penn State campuses each year. Recently, the course has incorporated six educational modules, which cover topics from creativity to professional communication to making. However, these modules require a unifying experience so that the students are able to perceive how the content from the individual modules coalesces to form the unique identity of an engineer. To address this need, a new framework is proposed to guide the creation and implementation of an 8-week long design challenge within EDSGN 100. This framework identifies a series of 8 project characteristics necessary to create a clear connection between the content from each of the individual modules and the successful execution of a world-class engineering design project. This ensures that faculty-developed design projects are of an appropriate scope and context in order to provide proper scaffolding to support the six individual educational modules. This paper demonstrates how such a framework can be applied to both create new projects for the course, as well as redesign existing projects to better meet course goals and incorporate module content.",
"author": "Nicholas A Meisel and Christopher McComb and Jessica Menold and Sarah Ritter",
"citation": "ASEE First-Year Engineering Education Conference, 2019",
"conference": "ASEE First-Year Engineering Education Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design",
"volume": null
} | 0P9w_S0AAAAJ:ns9cj8rnVeAC | 2 | /scholar?hl=en&cites=9605401415076775176 | [
"9605401415076775176"
] | https://pure.psu.edu/en/publications/creation-and-implementation-of-a-project-framework-to-improve-cor | /scholar?oi=bibs&hl=en&q=related:CIWvBrI9TYUJ:scholar.google.com/ | null | null | null | null | null | 1 | 0 | 1 | null | [
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@article{tehrani2017applicationofproject-based,
abstract = {This paper outlines a project-based learning approach to engineering education. This approach directly employs sustainable development as a vehicle to prepare students for global engineering challenges. The theoretical concept of the presented work utilizes the extended situational teaching model. This model explains the role of the teacher-leader in engineering classroom to help students with gaining essential elements of engineering education, including superior knowledge, reliable skills, and professional attitude. Case studies and examples of experiential learning projects demonstrate the development of links between classroom teaching, research advising, labo-},
author = {Fariborz M Tehrani and Christopher McComb and Nell Papavasiliou},
citation = {The 5th Iran International Conference on Engineering Education, 2017},
conference = {The 5th Iran International Conference on Engineering Education},
pub_year = {2017},
title = {Application of Project-based Learning within the Context of Sustainable Development in Education of International Engineer Citizens}
}
| {
"ENTRYTYPE": "article",
"ID": "tehrani2017applicationofproject-based",
"abstract": "This paper outlines a project-based learning approach to engineering education. This approach directly employs sustainable development as a vehicle to prepare students for global engineering challenges. The theoretical concept of the presented work utilizes the extended situational teaching model. This model explains the role of the teacher-leader in engineering classroom to help students with gaining essential elements of engineering education, including superior knowledge, reliable skills, and professional attitude. Case studies and examples of experiential learning projects demonstrate the development of links between classroom teaching, research advising, labo-",
"author": "Fariborz M Tehrani and Christopher McComb and Nell Papavasiliou",
"citation": "The 5th Iran International Conference on Engineering Education, 2017",
"conference": "The 5th Iran International Conference on Engineering Education",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2017,
"publisher": null,
"title": "Application of Project-based Learning within the Context of Sustainable Development in Education of International Engineer Citizens",
"volume": null
} | 0P9w_S0AAAAJ:IWHjjKOFINEC | 2 | /scholar?hl=en&cites=16523504919813733427 | [
"16523504919813733427"
] | https://scholar.google.com/scholar?cluster=16523504919813733427&hl=en&oi=scholarr | /scholar?oi=bibs&hl=en&q=related:M7zq5S1IT-UJ:scholar.google.com/ | null | null | null | null | null | 1 | 1 | null | null | [
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@article{grandi2024evaluatinglargelanguage,
abstract = {Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use of Large Language Models (LLMs) for material selection in the product design process and compares the performance of LLMs against expert choices for various design scenarios. By collecting a dataset of expert material preferences, the study provides a basis for evaluating how well LLMs can align with expert recommendations through prompt engineering and hyperparameter tuning. The divergence between LLM and expert recommendations is measured across different model configurations, prompt strategies, and temperature settings. This approach allows for a detailed analysis of factors influencing the LLMs' effectiveness in recommending materials. The results from this study highlight two failure …},
author = {Daniele Grandi and Yash Patawari Jain and Allin Groom and Brandon Cramer and Christopher McComb},
citation = {Journal of Computing and Information Science in Engineering, 2024},
journal = {Journal of Computing and Information Science in Engineering},
pub_year = {2024},
title = {Evaluating Large Language Models for Material Selection}
}
| {
"ENTRYTYPE": "article",
"ID": "grandi2024evaluatinglargelanguage",
"abstract": "Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use of Large Language Models (LLMs) for material selection in the product design process and compares the performance of LLMs against expert choices for various design scenarios. By collecting a dataset of expert material preferences, the study provides a basis for evaluating how well LLMs can align with expert recommendations through prompt engineering and hyperparameter tuning. The divergence between LLM and expert recommendations is measured across different model configurations, prompt strategies, and temperature settings. This approach allows for a detailed analysis of factors influencing the LLMs' effectiveness in recommending materials. The results from this study highlight two failure …",
"author": "Daniele Grandi and Yash Patawari Jain and Allin Groom and Brandon Cramer and Christopher McComb",
"citation": "Journal of Computing and Information Science in Engineering, 2024",
"conference": null,
"journal": "Journal of Computing and Information Science in Engineering",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Evaluating Large Language Models for Material Selection",
"volume": null
} | 0P9w_S0AAAAJ:LO7wyVUgiFcC | 1 | /scholar?hl=en&cites=11579535801170382344 | [
"11579535801170382344"
] | https://asmedigitalcollection.asme.org/computingengineering/article/doi/10.1115/1.4066730/1206935 | /scholar?oi=bibs&hl=en&q=related:CM6tzHXGsqAJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 1 | [
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] | null | null |
@article{baldwin2023hybridgeometry/propertyautoencoders,
abstract = {Additive manufacturing has revolutionized structural optimization by enhancing component strength and reducing material requirements. One approach used to achieve these improvements is the application of multi-lattice structures. The performance of these structures heavily relies on the detailed design of mesostructural elements. Many current approaches use data-driven design to generate multi-lattice transition regions, making use of models that jointly address the geometry and properties of the mesostructures. However, it remains unclear whether the integration of mechanical properties into the data set for generating multi-lattice interpolations is beneficial beyond geometry alone. To address this issue, this work implements and evaluates a hybrid geometry/property machine learning model for generating multi-lattice transition regions. We compare the results of this hybrid model to results obtained using a geometry-only model. Our research determined that incorporating physical properties decreased the number of variables to address in the latent space, and therefore improves the ability of generative models for developing transition regions of multi-lattice structures.},
author = {Martha Baldwin and Nicholas A Meisel and Christopher McComb},
citation = {34th Annual International Solid Freeform Fabrication Symposium, 2023},
conference = {34th Annual International Solid Freeform Fabrication Symposium},
pub_year = {2023},
title = {Hybrid Geometry/Property Autoencoders for Multi-Lattice Transitions}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2023hybridgeometry/propertyautoencoders",
"abstract": "Additive manufacturing has revolutionized structural optimization by enhancing component strength and reducing material requirements. One approach used to achieve these improvements is the application of multi-lattice structures. The performance of these structures heavily relies on the detailed design of mesostructural elements. Many current approaches use data-driven design to generate multi-lattice transition regions, making use of models that jointly address the geometry and properties of the mesostructures. However, it remains unclear whether the integration of mechanical properties into the data set for generating multi-lattice interpolations is beneficial beyond geometry alone. To address this issue, this work implements and evaluates a hybrid geometry/property machine learning model for generating multi-lattice transition regions. We compare the results of this hybrid model to results obtained using a geometry-only model. Our research determined that incorporating physical properties decreased the number of variables to address in the latent space, and therefore improves the ability of generative models for developing transition regions of multi-lattice structures.",
"author": "Martha Baldwin and Nicholas A Meisel and Christopher McComb",
"citation": "34th Annual International Solid Freeform Fabrication Symposium, 2023",
"conference": "34th Annual International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Hybrid Geometry/Property Autoencoders for Multi-Lattice Transitions",
"volume": null
} | 0P9w_S0AAAAJ:e_rmSamDkqQC | 1 | /scholar?hl=en&cites=8809038179855292045 | [
"8809038179855292045"
] | https://repositories.lib.utexas.edu/items/bbd230c9-dc7b-48c8-96de-859a8da90390 | /scholar?oi=bibs&hl=en&q=related:jdYgY439P3oJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 1 | [
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@article{xu2023adaptationandchallenges,
abstract = {Exploring the opportunities for incorporating Artificial Intelligence (AI) to support team problem solving has been the focus of intensive ongoing research. However, while the incorporation of such AI tools into human team problem solving can improve team performance, it is still unclear what modality of AI integration will lead to a genuine human-AI partnership capable of mimicking the dynamic adaptability of humans. This work unites human designers with AI Partners as fellow team members who can both reactively and proactively collaborate in real-time towards solving a complex and evolving engineering problem. Team performance and problem-solving behaviors are examined using the HyForm collaborative research platform. The problem constraints are unexpectedly changed midway through problem solving to simulate the nature of dynamically evolving engineering problems. This work shows that …},
author = {Zeda Xu and Chloe Hong and Nicolas F Soria Zurita and Joshua T. Gyory and Gary Stump and Hannah Nolte and Jonathan Cagan and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2023},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2023},
title = {Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2023adaptationandchallenges",
"abstract": "Exploring the opportunities for incorporating Artificial Intelligence (AI) to support team problem solving has been the focus of intensive ongoing research. However, while the incorporation of such AI tools into human team problem solving can improve team performance, it is still unclear what modality of AI integration will lead to a genuine human-AI partnership capable of mimicking the dynamic adaptability of humans. This work unites human designers with AI Partners as fellow team members who can both reactively and proactively collaborate in real-time towards solving a complex and evolving engineering problem. Team performance and problem-solving behaviors are examined using the HyForm collaborative research platform. The problem constraints are unexpectedly changed midway through problem solving to simulate the nature of dynamically evolving engineering problems. This work shows that …",
"author": "Zeda Xu and Chloe Hong and Nicolas F Soria Zurita and Joshua T. Gyory and Gary Stump and Hannah Nolte and Jonathan Cagan and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2023",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems",
"volume": null
} | 0P9w_S0AAAAJ:TIZ-Mc8IlK0C | 1 | /scholar?hl=en&cites=11411228625701652099 | [
"11411228625701652099"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2023/87318/1170520 | /scholar?oi=bibs&hl=en&q=related:g0a3zfnTXJ4J:scholar.google.com/ | null | null | null | null | null | null | null | 1 | null | [
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@article{brennan2023manufacturingfixationin,
abstract = {Capitalizing on any new or unfamiliar manufacturing technology requires an ability to look beyond the manufacturing limitations that have constrained one's design ideas in the past. For advanced manufacturing technology with unique capabilities such as additive manufacturing, this becomes critical for designing effective geometric features and parts. However, cognitive bias or fixation on familiar manufacturing processes may make it challenging for designers to determine how to take advantage of new manufacturing technology. For example, a person that is used to generating design ideas for subtractive manufacturing may struggle when asked to use additive manufacturing. This research is the first to provide evidence that fixation on certain manufacturing types can impact designers’ ability to utilize new, and less familiar, technologies during idea generation. We call this new form of design fixation …},
author = {Jennifer Brennan and William Miney and Timothy W Simpson and Kathryn Jablokow and Christopher Mccomb},
citation = {Journal of Mechanical Design 145 (1), 1-8, 2023},
journal = {Journal of Mechanical Design},
number = {1},
pages = {1-8},
pub_year = {2023},
title = {Manufacturing Fixation in Design: Exploring the Effects of Manufacturing Fixation during Idea Generation},
volume = {145}
}
| {
"ENTRYTYPE": "article",
"ID": "brennan2023manufacturingfixationin",
"abstract": "Capitalizing on any new or unfamiliar manufacturing technology requires an ability to look beyond the manufacturing limitations that have constrained one's design ideas in the past. For advanced manufacturing technology with unique capabilities such as additive manufacturing, this becomes critical for designing effective geometric features and parts. However, cognitive bias or fixation on familiar manufacturing processes may make it challenging for designers to determine how to take advantage of new manufacturing technology. For example, a person that is used to generating design ideas for subtractive manufacturing may struggle when asked to use additive manufacturing. This research is the first to provide evidence that fixation on certain manufacturing types can impact designers’ ability to utilize new, and less familiar, technologies during idea generation. We call this new form of design fixation …",
"author": "Jennifer Brennan and William Miney and Timothy W Simpson and Kathryn Jablokow and Christopher Mccomb",
"citation": "Journal of Mechanical Design 145 (1), 1-8, 2023",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": "1",
"pages": "1-8",
"pub_year": 2023,
"publisher": null,
"title": "Manufacturing Fixation in Design: Exploring the Effects of Manufacturing Fixation during Idea Generation",
"volume": "145"
} | 0P9w_S0AAAAJ:Z5m8FVwuT1cC | 1 | /scholar?hl=en&cites=1257698517750422449 | [
"1257698517750422449"
] | https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/145/1/012005/1150237 | /scholar?oi=bibs&hl=en&q=related:sZsMaSM-dBEJ:scholar.google.com/ | null | null | null | null | null | null | null | null | 1 | [
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@article{agyemang2022derivingrecommendationsfor,
abstract = {Agent-based modeling (ABM) is a widely used simulation methodology. The use of ABM in engineering design continues to grow due to increasing interest in modeling and simulating human systems. However, there are few resources specific to engineering design that guide how to develop an ABM, execute an ABM experiment, and assess the subsequent results. This inhibits the effective use of ABM by design researchers who are new to the methodology. The goal of this paper is to provide a resource for both novice and experienced design researchers that details a systematic approach to ABM. First, this paper reviews current ABM research in engineering design, with a specific focus on models used to simulate human systems. Specifically, we review this work with respect to a step-by-step approach to modeling developed in the systems simulation literature. Second, each of the steps is contextualized …},
author = {Malena Agyemang and Noriana Radwan and Sierra Hicks and Fariha Azhar and Ambrosio Valencia-Romero and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2022},
pages = {V006T06A034},
pub_year = {2022},
publisher = {American Society of Mechanical Engineers},
title = {Deriving Recommendations for the Use of Agent-Based Models in Engineering Design},
volume = {86267}
}
| {
"ENTRYTYPE": "article",
"ID": "agyemang2022derivingrecommendationsfor",
"abstract": "Agent-based modeling (ABM) is a widely used simulation methodology. The use of ABM in engineering design continues to grow due to increasing interest in modeling and simulating human systems. However, there are few resources specific to engineering design that guide how to develop an ABM, execute an ABM experiment, and assess the subsequent results. This inhibits the effective use of ABM by design researchers who are new to the methodology. The goal of this paper is to provide a resource for both novice and experienced design researchers that details a systematic approach to ABM. First, this paper reviews current ABM research in engineering design, with a specific focus on models used to simulate human systems. Specifically, we review this work with respect to a step-by-step approach to modeling developed in the systems simulation literature. Second, each of the steps is contextualized …",
"author": "Malena Agyemang and Noriana Radwan and Sierra Hicks and Fariha Azhar and Ambrosio Valencia-Romero and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2022",
"conference": null,
"journal": null,
"number": null,
"pages": "V006T06A034",
"pub_year": 2022,
"publisher": "American Society of Mechanical Engineers",
"title": "Deriving Recommendations for the Use of Agent-Based Models in Engineering Design",
"volume": "86267"
} | 0P9w_S0AAAAJ:ML0RJ9NH7IQC | 1 | /scholar?hl=en&cites=18278852755684414782 | [
"18278852755684414782"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2022/V006T06A034/1150504 | /scholar?oi=bibs&hl=en&q=related:PlU9XLyHq_0J:scholar.google.com/ | null | null | null | null | null | null | null | null | 1 | [
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@article{radwan2022acomputationalstudy,
abstract = {High-performing design teams are characterized by their ability to maintain performance across a variety of problem types. This is often referred to as robustness, and is usually achieved through careful management of team processes. However, there exists an opportunity to design teams that are likely to be inherently robust by addressing and embracing the individual variability of team members. Cognitive style provides an avenue by which we can compose robust teams based on the problem-solving approach of the individual. In this work, we used the KAI agent-based organizational optimization model (KABOOM) to evaluate the effects of team composition and team structure on the robustness of overall team performance. Teams of homogeneous and heterogeneous KAI styles were tasked to solve a variety of different abstract design problems and evaluated based on their performance with and without …},
author = {Noriana Radwan and Christopher McComb},
citation = {Journal of Mechanical Design, 2022},
journal = {Journal of Mechanical Design},
pub_year = {2022},
title = {A Computational Study of Design Team Robustness Through the Lens of Cognitive Style}
}
| {
"ENTRYTYPE": "article",
"ID": "radwan2022acomputationalstudy",
"abstract": "High-performing design teams are characterized by their ability to maintain performance across a variety of problem types. This is often referred to as robustness, and is usually achieved through careful management of team processes. However, there exists an opportunity to design teams that are likely to be inherently robust by addressing and embracing the individual variability of team members. Cognitive style provides an avenue by which we can compose robust teams based on the problem-solving approach of the individual. In this work, we used the KAI agent-based organizational optimization model (KABOOM) to evaluate the effects of team composition and team structure on the robustness of overall team performance. Teams of homogeneous and heterogeneous KAI styles were tasked to solve a variety of different abstract design problems and evaluated based on their performance with and without …",
"author": "Noriana Radwan and Christopher McComb",
"citation": "Journal of Mechanical Design, 2022",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "A Computational Study of Design Team Robustness Through the Lens of Cognitive Style",
"volume": null
} | 0P9w_S0AAAAJ:XD-gHx7UXLsC | 1 | /scholar?hl=en&cites=12623450321476307719 | [
"12623450321476307719"
] | https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/144/10/104502/1141370 | /scholar?oi=bibs&hl=en&q=related:B8tiey-BL68J:scholar.google.com/ | null | null | null | null | null | null | null | null | 1 | [
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@article{evans2021pitchimperfect:designing,
abstract = {Despite the benefits afforded students by music education, public schools operating on insufficient budgets often cut music programs to reduce expenses. Students deserve access to high quality instruments, regardless of socioeconomic status or district funding. Therefore, the goal of this research is to develop 3D printed, PLA claves that reproduce the sound of wooden claves. This study examined clave vibration by approximating claves as damped, simply supported, thin beams. The frequency predictions obtained from that model are compared to experimental results obtained by recording clave prototypes and analyzing the resulting frequency spectra. Results indicate that while it is technically feasible to 3D print a correctly pitched PLA clave, the design would not be suitable for an education instrument.},
author = {Emmeline Evans and Christopher McComb},
citation = {Solid Freeform Fabrication Symposium, 2021},
conference = {Solid Freeform Fabrication Symposium},
pub_year = {2021},
title = {Pitch Imperfect: Designing 3D Printed Claves to Mimic the Sound of Their Wooden Counterparts}
}
| {
"ENTRYTYPE": "article",
"ID": "evans2021pitchimperfect:designing",
"abstract": "Despite the benefits afforded students by music education, public schools operating on insufficient budgets often cut music programs to reduce expenses. Students deserve access to high quality instruments, regardless of socioeconomic status or district funding. Therefore, the goal of this research is to develop 3D printed, PLA claves that reproduce the sound of wooden claves. This study examined clave vibration by approximating claves as damped, simply supported, thin beams. The frequency predictions obtained from that model are compared to experimental results obtained by recording clave prototypes and analyzing the resulting frequency spectra. Results indicate that while it is technically feasible to 3D print a correctly pitched PLA clave, the design would not be suitable for an education instrument.",
"author": "Emmeline Evans and Christopher McComb",
"citation": "Solid Freeform Fabrication Symposium, 2021",
"conference": "Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2021,
"publisher": null,
"title": "Pitch Imperfect: Designing 3D Printed Claves to Mimic the Sound of Their Wooden Counterparts",
"volume": null
} | 0P9w_S0AAAAJ:PELIpwtuRlgC | 1 | /scholar?hl=en&cites=10337700114404761643 | [
"10337700114404761643"
] | https://repositories.lib.utexas.edu/items/5942c542-e6d6-4580-b6cd-d403395778fc | /scholar?oi=bibs&hl=en&q=related:K2CciXvjdo8J:scholar.google.com/ | null | null | null | null | null | null | null | 1 | null | [
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@article{puentes2020automatedheuristicinduction,
abstract = {Through experience, designers develop guiding principles, or heuristics, to aid decision-making in familiar design domains. Generalized versions of common design heuristics have been identified across multiple domains and applied by novices to design problems. Previous work leveraged a sample of these common heuristics to assist in an agent-based design process, which typically lacks heuristics. These predefined heuristics were translated into sequences of specifically applied design changes that followed the theme of the heuristic. To overcome the upfront burden, need for human interpretation, and lack of generality of this manual process, this paper presents a methodology that induces frequent heuristic sequences from an existing timeseries design change dataset. Individual induced sequences are then algorithmically grouped based on similarity to form groups that each represent a shared …},
author = {Lucas Puentes and Jonathan Cagan and Christopher McComb},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Automated Heuristic Induction From Human Design Data}
}
| {
"ENTRYTYPE": "article",
"ID": "puentes2020automatedheuristicinduction",
"abstract": "Through experience, designers develop guiding principles, or heuristics, to aid decision-making in familiar design domains. Generalized versions of common design heuristics have been identified across multiple domains and applied by novices to design problems. Previous work leveraged a sample of these common heuristics to assist in an agent-based design process, which typically lacks heuristics. These predefined heuristics were translated into sequences of specifically applied design changes that followed the theme of the heuristic. To overcome the upfront burden, need for human interpretation, and lack of generality of this manual process, this paper presents a methodology that induces frequent heuristic sequences from an existing timeseries design change dataset. Individual induced sequences are then algorithmically grouped based on similarity to form groups that each represent a shared …",
"author": "Lucas Puentes and Jonathan Cagan and Christopher McComb",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Automated Heuristic Induction From Human Design Data",
"volume": null
} | 0P9w_S0AAAAJ:KxtntwgDAa4C | 1 | /scholar?hl=en&cites=18220078407095305866 | [
"18220078407095305866"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2020/V009T09A054/1090074 | /scholar?oi=bibs&hl=en&q=related:ikau8sa42vwJ:scholar.google.com/ | null | null | null | null | null | null | 1 | null | null | [
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@article{mertens2020towardsanunderstanding,
abstract = {Research in new product design still lacks an understanding of how the types of information used by designers can lead to more successful designs and what cognitive components are involved in the process of generating new ideas. Some theories have arisen that focus on memory usage that could have an impact in idea generation early on in the design process. This framework forms the basis of the current study, focused on identifying the underlying cognitive processes that are active during the design process. To accomplish this, undergraduate students were recruited from the University of Nebraska-Omaha. During the study, participants were presented a design problem, given information pieces that corresponded to the Information Archetypes Framework, and asked to generate ideas for a solution. Students were then asked to recall the information pieces from memory. Participants’ data were analyzed …},
author = {Attakias Mertens and Christopher McComb and Christine Toh},
citation = {ASME 2020 International Design Engineering Technical Conferences and …, 2020},
conference = {ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2020},
title = {Towards an Understanding of Semantic Memory During Idea Generation}
}
| {
"ENTRYTYPE": "article",
"ID": "mertens2020towardsanunderstanding",
"abstract": "Research in new product design still lacks an understanding of how the types of information used by designers can lead to more successful designs and what cognitive components are involved in the process of generating new ideas. Some theories have arisen that focus on memory usage that could have an impact in idea generation early on in the design process. This framework forms the basis of the current study, focused on identifying the underlying cognitive processes that are active during the design process. To accomplish this, undergraduate students were recruited from the University of Nebraska-Omaha. During the study, participants were presented a design problem, given information pieces that corresponded to the Information Archetypes Framework, and asked to generate ideas for a solution. Students were then asked to recall the information pieces from memory. Participants’ data were analyzed …",
"author": "Attakias Mertens and Christopher McComb and Christine Toh",
"citation": "ASME 2020 International Design Engineering Technical Conferences and …, 2020",
"conference": "ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2020,
"publisher": null,
"title": "Towards an Understanding of Semantic Memory During Idea Generation",
"volume": null
} | 0P9w_S0AAAAJ:nb7KW1ujOQ8C | 1 | /scholar?hl=en&cites=17954759921101292294 | [
"17954759921101292294"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2020/83921/1089804 | /scholar?oi=bibs&hl=en&q=related:BsOpFAUfLPkJ:scholar.google.com/ | null | null | null | null | null | null | null | 1 | null | [
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@article{williams2019astandardizedframework,
abstract = {Intricate mesostructures in additive manufacturing (AM) designs can offer enhanced strength-to-weight performance. However, complex mesostructures can also hinder designers, often resulting in unpalatably large digital files that are difficult to modify. Similarly, existing methods for defining and representing complex mesostructures are highly variable, which further increases the challenge in realizing such structures for AM. To address these gaps, we propose a standardized framework for designing and representing mesostructured components tailored to AM. Our method uses a parametric language to describe complex patterns, defined by a combination of macrostructural, mesostructural, and vector field information. We show how various mesostructures, ranging from simple rectilinear patterns to complex, vector field-driven cellular cutouts can be represented using few parameters (unit cell dimensions, orientation, and spacing). Our proposed framework has the potential to significantly reduce file size, while its extensible nature enables it to be expanded in the future.},
author = {Glen Williams and J O'Brien and A Mezghani and M Eachus and Nicholas A Meisel and Christopher McComb},
citation = {30th Annual International Solid Freeform Fabrication Symposium, 2019},
conference = {30th Annual International Solid Freeform Fabrication Symposium},
pub_year = {2019},
title = {A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns}
}
| {
"ENTRYTYPE": "article",
"ID": "williams2019astandardizedframework",
"abstract": "Intricate mesostructures in additive manufacturing (AM) designs can offer enhanced strength-to-weight performance. However, complex mesostructures can also hinder designers, often resulting in unpalatably large digital files that are difficult to modify. Similarly, existing methods for defining and representing complex mesostructures are highly variable, which further increases the challenge in realizing such structures for AM. To address these gaps, we propose a standardized framework for designing and representing mesostructured components tailored to AM. Our method uses a parametric language to describe complex patterns, defined by a combination of macrostructural, mesostructural, and vector field information. We show how various mesostructures, ranging from simple rectilinear patterns to complex, vector field-driven cellular cutouts can be represented using few parameters (unit cell dimensions, orientation, and spacing). Our proposed framework has the potential to significantly reduce file size, while its extensible nature enables it to be expanded in the future.",
"author": "Glen Williams and J O'Brien and A Mezghani and M Eachus and Nicholas A Meisel and Christopher McComb",
"citation": "30th Annual International Solid Freeform Fabrication Symposium, 2019",
"conference": "30th Annual International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns",
"volume": null
} | 0P9w_S0AAAAJ:g5m5HwL7SMYC | 1 | /scholar?hl=en&cites=17241113744932770330 | [
"17241113744932770330"
] | https://par.nsf.gov/biblio/10171176 | /scholar?oi=bibs&hl=en&q=related:GpLSipq9RO8J:scholar.google.com/ | null | null | null | null | null | null | 1 | null | null | [
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@article{kaweesa2019evaluatingideaquantity,
abstract = {The advent of modern digital communication technology has enabled engineers to effectively collaborate regardless of team members’ geographic locations. As such, introducing engineering students to virtual environments and collaborative tools is particularly important to prepare them for careers in increasingly digital environments. This study investigates how integrating online collaboration tools in students’ idea generation activities impacts the i) quantity and ii) variety of ideas generated after a peer-feedback session. Students from five sections of a first-year engineering design course were assigned to either a collocated design team or a non-collocated design team to participate in a collaborative design feedback activity. Students individually generated an idea set using an online brainstorming tool (Stormboard), received peer-feedback via one of two delivery conditions (in-person or virtual through …},
author = {Dorcas Kaweesa and Christopher McComb and Jessica Menold and Sarah Ritter and Nicholas A Meisel},
citation = {ASME 2019 International Design Engineering Technical Conferences and …, 2019},
conference = {ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2019},
title = {Evaluating Idea Quantity And Variety When Using Digital Collaboration Tools To Support Brainstorming In Non-Collocated Teams}
}
| {
"ENTRYTYPE": "article",
"ID": "kaweesa2019evaluatingideaquantity",
"abstract": "The advent of modern digital communication technology has enabled engineers to effectively collaborate regardless of team members’ geographic locations. As such, introducing engineering students to virtual environments and collaborative tools is particularly important to prepare them for careers in increasingly digital environments. This study investigates how integrating online collaboration tools in students’ idea generation activities impacts the i) quantity and ii) variety of ideas generated after a peer-feedback session. Students from five sections of a first-year engineering design course were assigned to either a collocated design team or a non-collocated design team to participate in a collaborative design feedback activity. Students individually generated an idea set using an online brainstorming tool (Stormboard), received peer-feedback via one of two delivery conditions (in-person or virtual through …",
"author": "Dorcas Kaweesa and Christopher McComb and Jessica Menold and Sarah Ritter and Nicholas A Meisel",
"citation": "ASME 2019 International Design Engineering Technical Conferences and …, 2019",
"conference": "ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2019,
"publisher": null,
"title": "Evaluating Idea Quantity And Variety When Using Digital Collaboration Tools To Support Brainstorming In Non-Collocated Teams",
"volume": null
} | 0P9w_S0AAAAJ:lSLTfruPkqcC | 1 | /scholar?hl=en&cites=4640524724853301693 | [
"4640524724853301693"
] | https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/59216/1069926 | /scholar?oi=bibs&hl=en&q=related:vWFMlKZ0ZkAJ:scholar.google.com/ | null | null | null | null | null | null | null | 1 | null | [
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@article{xu2024adaptivelocaldomain,
abstract = {A15. 00001: Adaptive Local Domain Decomposition for Learning Large-Scale Multi-physics Numerical Simulations*},
author = {Wenzhuo Xu and Christopher McComb and Noelia Grande Gutiérrez},
citation = {Bulletin of the American Physical Society, 2024},
journal = {Bulletin of the American Physical Society},
pub_year = {2024},
publisher = {American Physical Society},
title = {Adaptive Local Domain Decomposition for Learning Large-Scale Multi-physics Numerical Simulations}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2024adaptivelocaldomain",
"abstract": "A15. 00001: Adaptive Local Domain Decomposition for Learning Large-Scale Multi-physics Numerical Simulations*",
"author": "Wenzhuo Xu and Christopher McComb and Noelia Grande Gutiérrez",
"citation": "Bulletin of the American Physical Society, 2024",
"conference": null,
"journal": "Bulletin of the American Physical Society",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": "American Physical Society",
"title": "Adaptive Local Domain Decomposition for Learning Large-Scale Multi-physics Numerical Simulations",
"volume": null
} | 0P9w_S0AAAAJ:anf4URPfarAC | 0 | null | null | https://meetings.aps.org/Meeting/DFD24/Session/A15.1 | /scholar?oi=bibs&hl=en&q=related:kZwrQDvaHJMJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{jain2024mseval:adataset,
abstract = {Material selection plays a pivotal role in many industries, from manufacturing to construction. Material selection is usually carried out after several cycles of conceptual design, during which designers iteratively refine the design solution and the intended manufacturing approach. In design research, material selection is typically treated as an optimization problem with a single correct answer. Moreover, it is also often restricted to specific types of objects or design functions, which can make the selection process computationally expensive and time-consuming. In this paper, we introduce MSEval, a novel dataset which is comprised of expert material evaluations across a variety of design briefs and criteria. This data is designed to serve as a benchmark to facilitate the evaluation and modification of machine learning models in the context of material selection for conceptual design.},
author = {Yash Patawari Jain and Daniele Grandi and Allin Groom and Brandon Cramer and Christopher McComb},
citation = {arXiv e-prints, arXiv: 2407.09719, 2024},
journal = {arXiv e-prints},
pages = {arXiv: 2407.09719},
pub_year = {2024},
title = {MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models}
}
| {
"ENTRYTYPE": "article",
"ID": "jain2024mseval:adataset",
"abstract": "Material selection plays a pivotal role in many industries, from manufacturing to construction. Material selection is usually carried out after several cycles of conceptual design, during which designers iteratively refine the design solution and the intended manufacturing approach. In design research, material selection is typically treated as an optimization problem with a single correct answer. Moreover, it is also often restricted to specific types of objects or design functions, which can make the selection process computationally expensive and time-consuming. In this paper, we introduce MSEval, a novel dataset which is comprised of expert material evaluations across a variety of design briefs and criteria. This data is designed to serve as a benchmark to facilitate the evaluation and modification of machine learning models in the context of material selection for conceptual design.",
"author": "Yash Patawari Jain and Daniele Grandi and Allin Groom and Brandon Cramer and Christopher McComb",
"citation": "arXiv e-prints, arXiv: 2407.09719, 2024",
"conference": null,
"journal": "arXiv e-prints",
"number": null,
"pages": "arXiv: 2407.09719",
"pub_year": 2024,
"publisher": null,
"title": "MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models",
"volume": null
} | 0P9w_S0AAAAJ:GtLg2Ama23sC | 0 | null | null | https://ui.adsabs.harvard.edu/abs/2024arXiv240709719P/abstract | /scholar?oi=bibs&hl=en&q=related:N_wFVIk5w0UJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{chen2024datascoping:effectively,
abstract = {Transport phenomena (e.g., fluid flows) are governed by time-dependent partial differential equations (PDEs) describing mass, momentum, and energy conservation, and are ubiquitous in many engineering applications. However, deep learning architectures are fundamentally incompatible with the simulation of these PDEs. This paper clearly articulates and then solves this incompatibility. The local-dependency of generic transport PDEs implies that it only involves local information to predict the physical properties at a location in the next time step. However, the deep learning architecture will inevitably increase the scope of information to make such predictions as the number of layers increases, which can cause sluggish convergence and compromise generalizability. This paper aims to solve this problem by proposing a distributed data scoping method with linear time complexity to strictly limit the scope of information to predict the local properties. The numerical experiments over multiple physics show that our data scoping method significantly accelerates training convergence and improves the generalizability of benchmark models on large-scale engineering simulations. Specifically, over the geometries not included in the training data for heat transferring simulation, it can increase the accuracy of Convolutional Neural Networks (CNNs) by 21.7 \% and that of Fourier Neural Operators (FNOs) by 38.5 \% on average.},
author = {Jiangce Chen and Wenzhuo Xu and Zeda Xu and Noelia Grande Gutiérrez and Sneha Prabha Narra and Christopher McComb},
citation = {arXiv preprint arXiv:2405.01319, 2024},
journal = {arXiv preprint arXiv:2405.01319},
pub_year = {2024},
title = {Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs}
}
| {
"ENTRYTYPE": "article",
"ID": "chen2024datascoping:effectively",
"abstract": "Transport phenomena (e.g., fluid flows) are governed by time-dependent partial differential equations (PDEs) describing mass, momentum, and energy conservation, and are ubiquitous in many engineering applications. However, deep learning architectures are fundamentally incompatible with the simulation of these PDEs. This paper clearly articulates and then solves this incompatibility. The local-dependency of generic transport PDEs implies that it only involves local information to predict the physical properties at a location in the next time step. However, the deep learning architecture will inevitably increase the scope of information to make such predictions as the number of layers increases, which can cause sluggish convergence and compromise generalizability. This paper aims to solve this problem by proposing a distributed data scoping method with linear time complexity to strictly limit the scope of information to predict the local properties. The numerical experiments over multiple physics show that our data scoping method significantly accelerates training convergence and improves the generalizability of benchmark models on large-scale engineering simulations. Specifically, over the geometries not included in the training data for heat transferring simulation, it can increase the accuracy of Convolutional Neural Networks (CNNs) by 21.7 \\% and that of Fourier Neural Operators (FNOs) by 38.5 \\% on average.",
"author": "Jiangce Chen and Wenzhuo Xu and Zeda Xu and Noelia Grande Gutiérrez and Sneha Prabha Narra and Christopher McComb",
"citation": "arXiv preprint arXiv:2405.01319, 2024",
"conference": null,
"journal": "arXiv preprint arXiv:2405.01319",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs",
"volume": null
} | 0P9w_S0AAAAJ:5qfkUJPXOUwC | 0 | null | null | https://arxiv.org/abs/2405.01319 | /scholar?oi=bibs&hl=en&q=related:KUpFtFdJf3EJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{doctorarastoo2024preference-awarehumanspatial,
author = {Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb},
citation = {NeurIPS 2024 Workshop on Behavioral ML, 2024},
conference = {NeurIPS 2024 Workshop on Behavioral ML},
pub_year = {2024},
title = {Preference-Aware Human Spatial Behavior Modeling in Cyber-Physical-Human Systems}
}
| {
"ENTRYTYPE": "article",
"ID": "doctorarastoo2024preference-awarehumanspatial",
"abstract": null,
"author": "Maral Doctorarastoo and Katherine Flanigan and Mario Bergès and Christopher McComb",
"citation": "NeurIPS 2024 Workshop on Behavioral ML, 2024",
"conference": "NeurIPS 2024 Workshop on Behavioral ML",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Preference-Aware Human Spatial Behavior Modeling in Cyber-Physical-Human Systems",
"volume": null
} | 0P9w_S0AAAAJ:a9-T7VOCCH8C | 0 | null | null | null | /scholar?oi=bibs&hl=en&q=related:U6oKz-BU3MIJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{chen2024data-driveninpaintingfor,
abstract = {Understanding the temperature history over a part during additive manufacturing (AM) is important for optimizing the process and ensuring product quality, as temperature impacts melt pool geometry, defect formation, and microstructure evolution. While in-process temperature monitoring holds promise for evaluating the part quality, existing thermal sensors used in AM provide only partial measurements of the temperature distribution over the part. In this work, we introduce an innovative approach for reconstructing the complete temperature profile using partial data. We formulate this challenge as an inpainting problem, a canonical task in machine learning which entails recovering missing information across a spatial domain. We present a data-driven model based on graph convolutional neural networks. To train the inpainting model, we employ a finite element simulation to generate a diverse dataset of …},
author = {Jiangce Chen and Mikhail Khrenov and Jiayi Jin and Sneha Prabha Narra and Christopher McComb},
citation = {Journal of Manufacturing Systems, 2024},
journal = {Journal of Manufacturing Systems},
pub_year = {2024},
title = {Data-Driven Inpainting for Full-Part Temperature Monitoring in Additive Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "chen2024data-driveninpaintingfor",
"abstract": "Understanding the temperature history over a part during additive manufacturing (AM) is important for optimizing the process and ensuring product quality, as temperature impacts melt pool geometry, defect formation, and microstructure evolution. While in-process temperature monitoring holds promise for evaluating the part quality, existing thermal sensors used in AM provide only partial measurements of the temperature distribution over the part. In this work, we introduce an innovative approach for reconstructing the complete temperature profile using partial data. We formulate this challenge as an inpainting problem, a canonical task in machine learning which entails recovering missing information across a spatial domain. We present a data-driven model based on graph convolutional neural networks. To train the inpainting model, we employ a finite element simulation to generate a diverse dataset of …",
"author": "Jiangce Chen and Mikhail Khrenov and Jiayi Jin and Sneha Prabha Narra and Christopher McComb",
"citation": "Journal of Manufacturing Systems, 2024",
"conference": null,
"journal": "Journal of Manufacturing Systems",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Data-Driven Inpainting for Full-Part Temperature Monitoring in Additive Manufacturing",
"volume": null
} | 0P9w_S0AAAAJ:NXb4pA-qfm4C | 0 | null | null | https://www.sciencedirect.com/science/article/pii/S0278612524002243 | /scholar?oi=bibs&hl=en&q=related:9aM6adQ90KoJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{xu2024garch-informedneuralnetworks,
abstract = {Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives extensive attention. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and its succeeding variants are well established models for stock volatility forecasting. More recently, deep learning models have gained popularity in volatility prediction as they demonstrated promising accuracy in certain time series prediction tasks. Inspired by Physics-Informed Neural Networks (PINN), we constructed a new, hybrid Deep Learning model that combines the strengths of GARCH with the flexibility of a Long Short-Term Memory (LSTM) Deep Neural Network (DNN), thus capturing and forecasting market volatility more accurately than either class of models are capable of on their own. We refer to this novel model as a GARCH-Informed Neural Network (GINN). When compared to other time series models, GINN showed superior out-of-sample prediction performance in terms of the Coefficient of Determination (), Mean Squared Error (MSE), and Mean Absolute Error (MAE).},
author = {Zeda Xu and John Liechty and Sebastian Benthall and Nicholas Skar-Gislinge and Christopher McComb},
citation = {ICAIF '24: 5th ACM International Conference on AI in Finance, 2024},
conference = {ICAIF '24: 5th ACM International Conference on AI in Finance},
pub_year = {2024},
title = {GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2024garch-informedneuralnetworks",
"abstract": "Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives extensive attention. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and its succeeding variants are well established models for stock volatility forecasting. More recently, deep learning models have gained popularity in volatility prediction as they demonstrated promising accuracy in certain time series prediction tasks. Inspired by Physics-Informed Neural Networks (PINN), we constructed a new, hybrid Deep Learning model that combines the strengths of GARCH with the flexibility of a Long Short-Term Memory (LSTM) Deep Neural Network (DNN), thus capturing and forecasting market volatility more accurately than either class of models are capable of on their own. We refer to this novel model as a GARCH-Informed Neural Network (GINN). When compared to other time series models, GINN showed superior out-of-sample prediction performance in terms of the Coefficient of Determination (), Mean Squared Error (MSE), and Mean Absolute Error (MAE).",
"author": "Zeda Xu and John Liechty and Sebastian Benthall and Nicholas Skar-Gislinge and Christopher McComb",
"citation": "ICAIF '24: 5th ACM International Conference on AI in Finance, 2024",
"conference": "ICAIF '24: 5th ACM International Conference on AI in Finance",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets",
"volume": null
} | 0P9w_S0AAAAJ:0izLItjtcgwC | 0 | null | null | https://arxiv.org/abs/2410.00288 | /scholar?oi=bibs&hl=en&q=related:hMF_QxC1cM8J:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{baldwin2024criteria-basedevaluationof,
author = {Martha Baldwin and Christopher McComb},
citation = {2024 Annual International Solid Freeform Fabrication Symposium, 2024},
conference = {2024 Annual International Solid Freeform Fabrication Symposium},
pub_year = {2024},
title = {Criteria-based Evaluation of Multi-lattice Structure Design Methods}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2024criteria-basedevaluationof",
"abstract": null,
"author": "Martha Baldwin and Christopher McComb",
"citation": "2024 Annual International Solid Freeform Fabrication Symposium, 2024",
"conference": "2024 Annual International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Criteria-based Evaluation of Multi-lattice Structure Design Methods",
"volume": null
} | 0P9w_S0AAAAJ:8d8msizDQcsC | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{mermillod-blondin2024benchmarkingthecurrent,
author = {Maxime Mermillod-Blondin and Alison Olechowski and Christopher McComb},
citation = {2024 Annual International Solid Freeform Fabrication Symposium, 2024},
conference = {2024 Annual International Solid Freeform Fabrication Symposium},
pub_year = {2024},
title = {Benchmarking the Current State of Lattice Design Software for Additive Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "mermillod-blondin2024benchmarkingthecurrent",
"abstract": null,
"author": "Maxime Mermillod-Blondin and Alison Olechowski and Christopher McComb",
"citation": "2024 Annual International Solid Freeform Fabrication Symposium, 2024",
"conference": "2024 Annual International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Benchmarking the Current State of Lattice Design Software for Additive Manufacturing",
"volume": null
} | 0P9w_S0AAAAJ:FAceZFleit8C | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{agarwal2024puttingtheghost,
abstract = {Large Language Models (LLMs) have emerged as pivotal technology in the evolving world. Their significance in design lies in their transformative potential to support engineers and collaborate with design teams throughout the design process. However, it is not known whether LLMs can emulate the cognitive and social attributes which are known to be important during design, such as cognitive style. This research evaluates the efficacy of LLMs to emulate aspects of Kirton's Adaption-Innovation theory, which characterizes individual preferences in problem-solving. Specifically, we use LLMs to generate solutions for three design problems using two different cognitive style prompts (adaptively-framed and innovatively-framed). Solutions are evaluated with respect to feasibility and paradigm relatedness, which are known to have discriminative value in other studies of cognitive style. We found that solutions generated …},
author = {Vasvi Agarwal and Kathryn Jablokow and Christopher McComb},
citation = {Journal of Computing and Information Science in Engineering, 2024},
journal = {Journal of Computing and Information Science in Engineering},
pub_year = {2024},
title = {Putting The Ghost In The Machine: Emulating Cognitive Style in Large Language Models}
}
| {
"ENTRYTYPE": "article",
"ID": "agarwal2024puttingtheghost",
"abstract": "Large Language Models (LLMs) have emerged as pivotal technology in the evolving world. Their significance in design lies in their transformative potential to support engineers and collaborate with design teams throughout the design process. However, it is not known whether LLMs can emulate the cognitive and social attributes which are known to be important during design, such as cognitive style. This research evaluates the efficacy of LLMs to emulate aspects of Kirton's Adaption-Innovation theory, which characterizes individual preferences in problem-solving. Specifically, we use LLMs to generate solutions for three design problems using two different cognitive style prompts (adaptively-framed and innovatively-framed). Solutions are evaluated with respect to feasibility and paradigm relatedness, which are known to have discriminative value in other studies of cognitive style. We found that solutions generated …",
"author": "Vasvi Agarwal and Kathryn Jablokow and Christopher McComb",
"citation": "Journal of Computing and Information Science in Engineering, 2024",
"conference": null,
"journal": "Journal of Computing and Information Science in Engineering",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Putting The Ghost In The Machine: Emulating Cognitive Style in Large Language Models",
"volume": null
} | 0P9w_S0AAAAJ:_FM0Bhl9EiAC | 0 | null | null | https://asmedigitalcollection.asme.org/computingengineering/article/doi/10.1115/1.4066857/1207208 | /scholar?oi=bibs&hl=en&q=related:xGDmOVtM6XwJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{uhles2024understandingtheimpacts,
author = {Chad Uhles and Melinda Tatenda Mudzurandende and Christopher McComb and Hugh Medal},
citation = {2024 International Mechanical Engineering Congress & Exposition, 2024},
conference = {2024 International Mechanical Engineering Congress & Exposition},
pub_year = {2024},
title = {Understanding the Impacts of Jointly Optimizing Product and Supply Chain Decisions for Complex Products}
}
| {
"ENTRYTYPE": "article",
"ID": "uhles2024understandingtheimpacts",
"abstract": null,
"author": "Chad Uhles and Melinda Tatenda Mudzurandende and Christopher McComb and Hugh Medal",
"citation": "2024 International Mechanical Engineering Congress & Exposition, 2024",
"conference": "2024 International Mechanical Engineering Congress & Exposition",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Understanding the Impacts of Jointly Optimizing Product and Supply Chain Decisions for Complex Products",
"volume": null
} | 0P9w_S0AAAAJ:bz8QjSJIRt4C | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{baldwin2024smoothlikebutter:,
abstract = {Additive manufacturing has revolutionized structural optimization by enhancing component strength and reducing material requirements. One approach used to achieve these improvements is the application of multi-lattice structures, where the macroscale performance relies on the detailed design of mesostructural lattice elements. Many current approaches to designing such structures use data-driven design to generate multi-lattice transition regions, making use of machine learning models that are informed solely by the geometry of the mesostructures. However, it remains unclear if the integration of mechanical properties into the dataset used to train such machine learning models would be beneficial beyond using geometric data alone. To address this issue, this work implements and evaluates a hybrid geometry/property variational autoencoder (VAE) for generating multi-lattice transition regions. In our study …},
author = {Martha Baldwin and Nicholas A Meisel and Christopher McComb},
citation = {3D Printing and Additive Manufacturing, 2024},
journal = {3D Printing and Additive Manufacturing},
pub_year = {2024},
title = {Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2024smoothlikebutter:",
"abstract": "Additive manufacturing has revolutionized structural optimization by enhancing component strength and reducing material requirements. One approach used to achieve these improvements is the application of multi-lattice structures, where the macroscale performance relies on the detailed design of mesostructural lattice elements. Many current approaches to designing such structures use data-driven design to generate multi-lattice transition regions, making use of machine learning models that are informed solely by the geometry of the mesostructures. However, it remains unclear if the integration of mechanical properties into the dataset used to train such machine learning models would be beneficial beyond using geometric data alone. To address this issue, this work implements and evaluates a hybrid geometry/property variational autoencoder (VAE) for generating multi-lattice transition regions. In our study …",
"author": "Martha Baldwin and Nicholas A Meisel and Christopher McComb",
"citation": "3D Printing and Additive Manufacturing, 2024",
"conference": null,
"journal": "3D Printing and Additive Manufacturing",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces",
"volume": null
} | 0P9w_S0AAAAJ:kh2fBNsKQNwC | 0 | null | null | https://www.liebertpub.com/doi/abs/10.1089/3dp.2023.0316 | /scholar?oi=bibs&hl=en&q=related:k2W0wI3vrgUJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{jain2024materialselectionusing,
author = {Yash Patawari Jain and Daniel Grandi and Allin Groom and Brandon Cramer and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2024},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2024},
title = {Material Selection Using Large Language Models}
}
| {
"ENTRYTYPE": "article",
"ID": "jain2024materialselectionusing",
"abstract": null,
"author": "Yash Patawari Jain and Daniel Grandi and Allin Groom and Brandon Cramer and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2024",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Material Selection Using Large Language Models",
"volume": null
} | 0P9w_S0AAAAJ:rmuvC79q63oC | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{chen2024multi-latticetopologyoptimization,
author = {Jiangce Chen and Martha Baldwin and Sneha Prabha Narra and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2024},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2024},
title = {Multi-Lattice Topology Optimization With Lattice Representation Learned by Generative Models}
}
| {
"ENTRYTYPE": "article",
"ID": "chen2024multi-latticetopologyoptimization",
"abstract": null,
"author": "Jiangce Chen and Martha Baldwin and Sneha Prabha Narra and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2024",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Multi-Lattice Topology Optimization With Lattice Representation Learned by Generative Models",
"volume": null
} | 0P9w_S0AAAAJ:_axFR9aDTf0C | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{valmyr2024aproposedextension,
author = {Doreen Valmyr and Ambrosio Valencia-Romero and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2024},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2024},
title = {A Proposed Extension to the Functional Basis for AI/ML-Enabled Cyber-physical Systems}
}
| {
"ENTRYTYPE": "article",
"ID": "valmyr2024aproposedextension",
"abstract": null,
"author": "Doreen Valmyr and Ambrosio Valencia-Romero and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2024",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "A Proposed Extension to the Functional Basis for AI/ML-Enabled Cyber-physical Systems",
"volume": null
} | 0P9w_S0AAAAJ:86PQX7AUzd4C | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{agarwal2024emulatingcognitivestyle,
author = {Vasvi Agarwal and Kathryn Jablokow and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2024},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2024},
title = {Emulating Cognitive Style in Large Language Models}
}
| {
"ENTRYTYPE": "article",
"ID": "agarwal2024emulatingcognitivestyle",
"abstract": null,
"author": "Vasvi Agarwal and Kathryn Jablokow and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2024",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Emulating Cognitive Style in Large Language Models",
"volume": null
} | 0P9w_S0AAAAJ:PVjk1bu6vJQC | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{agrawal2024symmetryheuristicsfor,
abstract = {Deep Reinforcement Learning (RL) has emerged as a promising technique for automating configuration design because of its capacity for sequential decision-making. However, it faces challenges in learning stability when complex engineering simulations compose the reward function. This diminishes the practicality of deep RL for configuration design. To address this challenge, this work integrates configuration design heuristics in a deep RL framework to enhance stability and efficiently converge to high performance solutions. Specifically, we shape the reward based on symmetry, a deep-rooted heuristic that is widely applicable and frequently used in engineering design practice. This approach is empirically tested on a truss design problem wherein the RL agent employs a symmetry detection method during the design process. The results reveal that the proposed symmetry-guided approach consistently yields …},
author = {Akash Agrawal and Christopher McComb},
citation = {Design Computing and Cognition’24, 2024},
conference = {Design Computing and Cognition’24},
pub_year = {2024},
title = {Symmetry Heuristics for Stable Reinforcement Learning Design Agents}
}
| {
"ENTRYTYPE": "article",
"ID": "agrawal2024symmetryheuristicsfor",
"abstract": "Deep Reinforcement Learning (RL) has emerged as a promising technique for automating configuration design because of its capacity for sequential decision-making. However, it faces challenges in learning stability when complex engineering simulations compose the reward function. This diminishes the practicality of deep RL for configuration design. To address this challenge, this work integrates configuration design heuristics in a deep RL framework to enhance stability and efficiently converge to high performance solutions. Specifically, we shape the reward based on symmetry, a deep-rooted heuristic that is widely applicable and frequently used in engineering design practice. This approach is empirically tested on a truss design problem wherein the RL agent employs a symmetry detection method during the design process. The results reveal that the proposed symmetry-guided approach consistently yields …",
"author": "Akash Agrawal and Christopher McComb",
"citation": "Design Computing and Cognition’24, 2024",
"conference": "Design Computing and Cognition’24",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Symmetry Heuristics for Stable Reinforcement Learning Design Agents",
"volume": null
} | 0P9w_S0AAAAJ:ClCfbGk0d_YC | 0 | null | null | https://link.springer.com/chapter/10.1007/978-3-031-71922-6_4 | /scholar?oi=bibs&hl=en&q=related:RWbmLr2ucWcJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{agrawal2024tocentralizeor,
abstract = {Multi-agent Reinforcement Learning (RL) frameworks for job scheduling and navigation control of autonomous mobile robots are becoming increasingly common as a means of increasing productivity in manufacturing. Centralized and decentralized frameworks have emerged as the two dominant archetypes for these systems. However, the tradeoffs of these competing archetypes in terms of efficiency, stability, robustness, accuracy, generalizability, and scalability are not well-understood. This work investigates the time efficiency, learning stability, and robustness to operational disruptions of an exemplar decentralized RL framework in comparison to a centralized RL framework. Specifically, several policies with increasing computational budgets are trained using both frameworks and then evaluated on the throughput and safety of the shop floor in static and dynamic tests. We observe that the decentralized framework yields a high performing policy at a significantly lower training budget than the centralized one. However, the centralized framework exhibits superior learning stability as well as robustness to the initialization of robot locations in static testing. Furthermore, we compare the robustness of the frameworks in dynamic tests to find that the decentralized framework provides better compensation for processing delays and failures in real time.},
author = {Akash Agrawal and Sung Jun Won and Tushar Sharma and Mayuri Deshpande and Christopher McComb},
citation = {Engineering Archive, 2024},
pub_year = {2024},
publisher = {Engineering Archive},
title = {To Centralize or Decentralize? Examining Cyber-Physical Control on the Manufacturing Shop Floor}
}
| {
"ENTRYTYPE": "article",
"ID": "agrawal2024tocentralizeor",
"abstract": "Multi-agent Reinforcement Learning (RL) frameworks for job scheduling and navigation control of autonomous mobile robots are becoming increasingly common as a means of increasing productivity in manufacturing. Centralized and decentralized frameworks have emerged as the two dominant archetypes for these systems. However, the tradeoffs of these competing archetypes in terms of efficiency, stability, robustness, accuracy, generalizability, and scalability are not well-understood. This work investigates the time efficiency, learning stability, and robustness to operational disruptions of an exemplar decentralized RL framework in comparison to a centralized RL framework. Specifically, several policies with increasing computational budgets are trained using both frameworks and then evaluated on the throughput and safety of the shop floor in static and dynamic tests. We observe that the decentralized framework yields a high performing policy at a significantly lower training budget than the centralized one. However, the centralized framework exhibits superior learning stability as well as robustness to the initialization of robot locations in static testing. Furthermore, we compare the robustness of the frameworks in dynamic tests to find that the decentralized framework provides better compensation for processing delays and failures in real time.",
"author": "Akash Agrawal and Sung Jun Won and Tushar Sharma and Mayuri Deshpande and Christopher McComb",
"citation": "Engineering Archive, 2024",
"conference": null,
"journal": null,
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": "Engineering Archive",
"title": "To Centralize or Decentralize? Examining Cyber-Physical Control on the Manufacturing Shop Floor",
"volume": null
} | 0P9w_S0AAAAJ:Ug5p-4gJ2f0C | 0 | null | null | https://engrxiv.org/preprint/view/3567 | /scholar?oi=bibs&hl=en&q=related:r92wBWfh8B0J:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{rismiller2024understandingcollaborationin,
abstract = {Coordinating the collaboration within sub-structured teams created for large engineering projects presents several challenges. Set-based concurrent engineering (SBCE), by maintaining several candidate designs for each subproblem throughout the process, may alter the best ways to coordinate subteams in these projects, compared to point-based concurrent engineering (PBCE) processes in which only one candidate design is maintained for each subproblem. Previous studies have introduced SBCE to industry with positive results and have corroborated its stated benefits through computational study, but researchers have yet to systematically study how SBCE interacts with sub-structured teams. This work augments a multi-agent model developed to simulate and study SBCE, the Point/Set-Organized Research Teams (PSORT) platform, to model sub-structured teams with different forms of intra-subteam …},
author = {Sean Rismiller and Jonathan Cagan and Christopher McComb},
citation = {Journal of Engineering Design, 2024},
journal = {Journal of Engineering Design},
pub_year = {2024},
title = {Understanding Collaboration in Sub-Structured Teams Through a Computational Model of Set-Based Concurrent Engineering}
}
| {
"ENTRYTYPE": "article",
"ID": "rismiller2024understandingcollaborationin",
"abstract": "Coordinating the collaboration within sub-structured teams created for large engineering projects presents several challenges. Set-based concurrent engineering (SBCE), by maintaining several candidate designs for each subproblem throughout the process, may alter the best ways to coordinate subteams in these projects, compared to point-based concurrent engineering (PBCE) processes in which only one candidate design is maintained for each subproblem. Previous studies have introduced SBCE to industry with positive results and have corroborated its stated benefits through computational study, but researchers have yet to systematically study how SBCE interacts with sub-structured teams. This work augments a multi-agent model developed to simulate and study SBCE, the Point/Set-Organized Research Teams (PSORT) platform, to model sub-structured teams with different forms of intra-subteam …",
"author": "Sean Rismiller and Jonathan Cagan and Christopher McComb",
"citation": "Journal of Engineering Design, 2024",
"conference": null,
"journal": "Journal of Engineering Design",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Understanding Collaboration in Sub-Structured Teams Through a Computational Model of Set-Based Concurrent Engineering",
"volume": null
} | 0P9w_S0AAAAJ:q3CdL3IzO_QC | 0 | null | null | https://www.tandfonline.com/doi/abs/10.1080/09544828.2024.2324402 | /scholar?oi=bibs&hl=en&q=related:oydfuJJy7rwJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{xu2024adaptationthroughcommunication:,
author = {Zeda Xu and Chloe Soohwah Hong and Nicolas F Soria Zurita and Joshua T. Gyory and Gary Stump and Hannah Nolte and Jonathan Cagan and Christopher McComb},
citation = {Journal of Mechanical Design, 2024},
journal = {Journal of Mechanical Design},
pub_year = {2024},
title = {Adaptation through Communication: Assessing Human-AI Partnership for the Design of Complex Engineering Systems}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2024adaptationthroughcommunication:",
"abstract": null,
"author": "Zeda Xu and Chloe Soohwah Hong and Nicolas F Soria Zurita and Joshua T. Gyory and Gary Stump and Hannah Nolte and Jonathan Cagan and Christopher McComb",
"citation": "Journal of Mechanical Design, 2024",
"conference": null,
"journal": "Journal of Mechanical Design",
"number": null,
"pages": null,
"pub_year": 2024,
"publisher": null,
"title": "Adaptation through Communication: Assessing Human-AI Partnership for the Design of Complex Engineering Systems",
"volume": null
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@article{xiao2023arcticcoastalhazard,
abstract = {The Arctic's permafrost thaw, leading to coastal land loss, flooding, and ground subsidence, poses significant threats to civil infrastructure and coastal communities. Addressing these challenges necessitates effective hazard assessment tools, which have been lacking for the Arctic coast. In response, we developed a comprehensive framework called the Arctic Coastal Hazard Index (ACHI) to assess the vulnerability of Arctic coasts to permafrost thawing, coastal erosion, and flooding. To quantify the coastal permafrost thaw potential (PTP), we employed a regional assessment approach using a ground settlement index based on a numerical permafrost thermal model developed by the Geophysical Institute's Permafrost Laboratory (GIPL) at the University of Alaska Fairbanks. This model provided data on future regional mean annual ground temperature, active layer thickness, and talik thickness. The predicted thaw …},
author = {Ming Xiao and Ziyi Wang and Dmitry Nicolsky and Vladimir E Romanovsky and Christopher McComb and Louise Melanie Farquharson},
citation = {AGU23, 2023},
conference = {AGU23},
pub_year = {2023},
publisher = {AGU},
title = {Arctic Coastal Hazard Index (ACHI): A Framework for Assessing Vulnerability to Permafrost Thawing, Coastal Erosion, and Flooding in the Arctic}
}
| {
"ENTRYTYPE": "article",
"ID": "xiao2023arcticcoastalhazard",
"abstract": "The Arctic's permafrost thaw, leading to coastal land loss, flooding, and ground subsidence, poses significant threats to civil infrastructure and coastal communities. Addressing these challenges necessitates effective hazard assessment tools, which have been lacking for the Arctic coast. In response, we developed a comprehensive framework called the Arctic Coastal Hazard Index (ACHI) to assess the vulnerability of Arctic coasts to permafrost thawing, coastal erosion, and flooding. To quantify the coastal permafrost thaw potential (PTP), we employed a regional assessment approach using a ground settlement index based on a numerical permafrost thermal model developed by the Geophysical Institute's Permafrost Laboratory (GIPL) at the University of Alaska Fairbanks. This model provided data on future regional mean annual ground temperature, active layer thickness, and talik thickness. The predicted thaw …",
"author": "Ming Xiao and Ziyi Wang and Dmitry Nicolsky and Vladimir E Romanovsky and Christopher McComb and Louise Melanie Farquharson",
"citation": "AGU23, 2023",
"conference": "AGU23",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": "AGU",
"title": "Arctic Coastal Hazard Index (ACHI): A Framework for Assessing Vulnerability to Permafrost Thawing, Coastal Erosion, and Flooding in the Arctic",
"volume": null
} | 0P9w_S0AAAAJ:ruyezt5ZtCIC | 0 | null | null | https://ui.adsabs.harvard.edu/abs/2023AGUFM.C33C1416X/abstract | /scholar?oi=bibs&hl=en&q=related:tSnhy_w03HQJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{xu2023taylorserieserror,
abstract = {X29. 00010: Taylor series error correction network for super-resolution of discretized fluid solutions*},
author = {Wenzhuo Xu and Christopher McComb and Noelia Grande Gutiérrez},
citation = {Bulletin of the American Physical Society, 2023},
conference = {Bulletin of the American Physical Society},
pub_year = {2023},
publisher = {American Physical Society},
title = {Taylor series error correction network for super-resolution of discretized fluid solutions}
}
| {
"ENTRYTYPE": "article",
"ID": "xu2023taylorserieserror",
"abstract": "X29. 00010: Taylor series error correction network for super-resolution of discretized fluid solutions*",
"author": "Wenzhuo Xu and Christopher McComb and Noelia Grande Gutiérrez",
"citation": "Bulletin of the American Physical Society, 2023",
"conference": "Bulletin of the American Physical Society",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": "American Physical Society",
"title": "Taylor series error correction network for super-resolution of discretized fluid solutions",
"volume": null
} | 0P9w_S0AAAAJ:HbR8gkJAVGIC | 0 | null | null | https://meetings.aps.org/Meeting/DFD23/Session/X29.10 | /scholar?oi=bibs&hl=en&q=related:So4c5K_m1voJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{rismiller2023delimitingdesign:expanding,
abstract = {Engineering design problems are often decomposed and distributed among design teams so that their components may be developed concurrently in a project. Set-based concurrent engineering (SBCE) details a development process that reduces the need for communication and rework, often considered limiting factors to concurrency, by maintaining many candidate designs for each subproblem throughout the design process. This ensures that candidates have some compatible options to combine with as the project progresses rather than needing constant coordination and adaptation. Previous studies of SBCE found positive results in industry and corroborated its claimed benefits with computational models but have yet to study how it interacts with problem decomposition. This work uses the Point/Set-Organised Research Teams (PSORT) platform, a computational model developed to simulate and study SBCE …},
author = {Sean Rismiller and Jonathan Cagan and Christopher McComb},
citation = {Journal of Engineering Design, 2023},
journal = {Journal of Engineering Design},
pub_year = {2023},
title = {Delimiting Design: Expanding the Limits of Concurrency through Set-Based Concurrent Engineering}
}
| {
"ENTRYTYPE": "article",
"ID": "rismiller2023delimitingdesign:expanding",
"abstract": "Engineering design problems are often decomposed and distributed among design teams so that their components may be developed concurrently in a project. Set-based concurrent engineering (SBCE) details a development process that reduces the need for communication and rework, often considered limiting factors to concurrency, by maintaining many candidate designs for each subproblem throughout the design process. This ensures that candidates have some compatible options to combine with as the project progresses rather than needing constant coordination and adaptation. Previous studies of SBCE found positive results in industry and corroborated its claimed benefits with computational models but have yet to study how it interacts with problem decomposition. This work uses the Point/Set-Organised Research Teams (PSORT) platform, a computational model developed to simulate and study SBCE …",
"author": "Sean Rismiller and Jonathan Cagan and Christopher McComb",
"citation": "Journal of Engineering Design, 2023",
"conference": null,
"journal": "Journal of Engineering Design",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Delimiting Design: Expanding the Limits of Concurrency through Set-Based Concurrent Engineering",
"volume": null
} | 0P9w_S0AAAAJ:i2xiXl-TujoC | 0 | null | null | https://www.tandfonline.com/doi/abs/10.1080/09544828.2023.2260665 | /scholar?oi=bibs&hl=en&q=related:WasJcb5mpBkJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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] | null | null |
@article{williams2023dreamingofdata:,
abstract = {The data generated during additive manufacturing (AM) practice can be used to train machine learning (ML) tools to reduce defects, optimize mechanical properties, or increase efficiency. In addition to the size of the repository, emerging research shows that other characteristics of the data also impact suitability of the data for AM-ML application. What should be done in cases for which the data in too small, too homogeneous, or otherwise insufficient? Data augmentation techniques present a solution, offering automated methods for increasing the quality of data. However, many of these techniques were developed for machine vision tasks, and hence their suitability for AM data has not been verified. In this study, several data augmentation techniques are applied to synthetic design repositories to characterize if and to what degree they enhance their performance as ML training sets. We discuss the comparative advantage of these data augmentation techniques across several canonical AM-ML tasks.},
author = {Glen Williams and Martha Baldwin and Timothy W Simpson and Nicholas A Meisel and Christopher McComb},
citation = {34th Annual International Solid Freeform Fabrication Symposium, 2023},
conference = {34th Annual International Solid Freeform Fabrication Symposium},
pub_year = {2023},
title = {Dreaming of Data: Examining Data Augmentation for Machine Learning in Additive Manufacturing}
}
| {
"ENTRYTYPE": "article",
"ID": "williams2023dreamingofdata:",
"abstract": "The data generated during additive manufacturing (AM) practice can be used to train machine learning (ML) tools to reduce defects, optimize mechanical properties, or increase efficiency. In addition to the size of the repository, emerging research shows that other characteristics of the data also impact suitability of the data for AM-ML application. What should be done in cases for which the data in too small, too homogeneous, or otherwise insufficient? Data augmentation techniques present a solution, offering automated methods for increasing the quality of data. However, many of these techniques were developed for machine vision tasks, and hence their suitability for AM data has not been verified. In this study, several data augmentation techniques are applied to synthetic design repositories to characterize if and to what degree they enhance their performance as ML training sets. We discuss the comparative advantage of these data augmentation techniques across several canonical AM-ML tasks.",
"author": "Glen Williams and Martha Baldwin and Timothy W Simpson and Nicholas A Meisel and Christopher McComb",
"citation": "34th Annual International Solid Freeform Fabrication Symposium, 2023",
"conference": "34th Annual International Solid Freeform Fabrication Symposium",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Dreaming of Data: Examining Data Augmentation for Machine Learning in Additive Manufacturing",
"volume": null
} | 0P9w_S0AAAAJ:-FonjvnnhkoC | 0 | null | null | https://repositories.lib.utexas.edu/items/670aa9da-7981-4046-9903-b82fccd2b4a1 | /scholar?oi=bibs&hl=en&q=related:gFkGzq0k4cAJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{baldwin2023addlat2dthe2d,
abstract = {This work addresses the challenges of acquiring additive manufacturing data, given the complexities and design possibilities of such structures. Researchers in additive manufacturing struggle with scarcity and unsuitability of 2D datasets which pose further difficulties. To overcome these concerns, this research presents an application, AddLat2D, for generating 2D lattice structure datasets tailored to user specifications. Building upon a previous version of the application (Baldwin et al., 2023, 2022), this work highlights our development and usage of AddLat2D to generate datasets that have custom image size and pixel intensity values.},
author = {Martha Baldwin and Nicholas A Meisel and Christopher McComb},
citation = {Software Impacts, 2023},
journal = {Software Impacts},
pub_year = {2023},
title = {AddLat2D the 2D Lattice Generator}
}
| {
"ENTRYTYPE": "article",
"ID": "baldwin2023addlat2dthe2d",
"abstract": "This work addresses the challenges of acquiring additive manufacturing data, given the complexities and design possibilities of such structures. Researchers in additive manufacturing struggle with scarcity and unsuitability of 2D datasets which pose further difficulties. To overcome these concerns, this research presents an application, AddLat2D, for generating 2D lattice structure datasets tailored to user specifications. Building upon a previous version of the application (Baldwin et al., 2023, 2022), this work highlights our development and usage of AddLat2D to generate datasets that have custom image size and pixel intensity values.",
"author": "Martha Baldwin and Nicholas A Meisel and Christopher McComb",
"citation": "Software Impacts, 2023",
"conference": null,
"journal": "Software Impacts",
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "AddLat2D the 2D Lattice Generator",
"volume": null
} | 0P9w_S0AAAAJ:M7yex6snE4oC | 0 | null | null | https://www.sciencedirect.com/science/article/pii/S2665963823001045 | /scholar?oi=bibs&hl=en&q=related:gK7ITTmpLTEJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{chen2023capturinglocaltemperature,
author = {Jiangce Chen and Wenzhuo Xu and Martha Baldwin and Björn Nijhuis and Ton van den Boogaard and Noelia Grande Gutierrez and Sneha Prabha Narra and Christopher McComb},
citation = {International Design Engineering Technical Conferences and Computers and …, 2023},
conference = {International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
pub_year = {2023},
title = {Capturing Local Temperature Evolution during Additive Manufacturing with Fourier Neural Operator}
}
| {
"ENTRYTYPE": "article",
"ID": "chen2023capturinglocaltemperature",
"abstract": null,
"author": "Jiangce Chen and Wenzhuo Xu and Martha Baldwin and Björn Nijhuis and Ton van den Boogaard and Noelia Grande Gutierrez and Sneha Prabha Narra and Christopher McComb",
"citation": "International Design Engineering Technical Conferences and Computers and …, 2023",
"conference": "International Design Engineering Technical Conferences and Computers and Information in Engineering Conference",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": null,
"title": "Capturing Local Temperature Evolution during Additive Manufacturing with Fourier Neural Operator",
"volume": null
} | 0P9w_S0AAAAJ:tYavs44e6CUC | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | [
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@article{sha2023promotingdatascience,
abstract = {In 2020, the American Society of Mechanical Engineers successfully held the first series of hackathon events in its two primary conferences. The first was held from August 15–16 as a pre-conference event of the ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), and the second was held from November 14–15 at the International Mechanical Engineering Congress and Exposition (IMECE). These ASME Hackathons aim to provide an open mechanism for researchers to explore new statistical and machine-learning techniques appropriate for unstructured data in design and manufacturing, as well as to develop new educational pathways for training the next generation of data-literate mechanical engineers. In this chapter, we summarize and share insights from planning and conducting these hackathons, the first-ever organized …},
author = {Zhenghui Sha and Yan Lu and Christopher McComb and Zhuo Yang and Anh Tran and Dehao Liu and Faez Ahmed and Binyang Song and Bryan O'Halloran and Brandon Lane and Anant Kumar Mishra and Ho Yeung and Michael Lawton and Lucia Mirabella and Rahul Rai and Dazhong Wu},
citation = {Emotional Engineering 9, 2023},
pub_year = {2023},
publisher = {Springer},
title = {Promoting Data Science in Mechanical Engineering Research and Education: An Exploration of the Hackathon Mechanism},
volume = {9}
}
| {
"ENTRYTYPE": "article",
"ID": "sha2023promotingdatascience",
"abstract": "In 2020, the American Society of Mechanical Engineers successfully held the first series of hackathon events in its two primary conferences. The first was held from August 15–16 as a pre-conference event of the ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), and the second was held from November 14–15 at the International Mechanical Engineering Congress and Exposition (IMECE). These ASME Hackathons aim to provide an open mechanism for researchers to explore new statistical and machine-learning techniques appropriate for unstructured data in design and manufacturing, as well as to develop new educational pathways for training the next generation of data-literate mechanical engineers. In this chapter, we summarize and share insights from planning and conducting these hackathons, the first-ever organized …",
"author": "Zhenghui Sha and Yan Lu and Christopher McComb and Zhuo Yang and Anh Tran and Dehao Liu and Faez Ahmed and Binyang Song and Bryan O'Halloran and Brandon Lane and Anant Kumar Mishra and Ho Yeung and Michael Lawton and Lucia Mirabella and Rahul Rai and Dazhong Wu",
"citation": "Emotional Engineering 9, 2023",
"conference": null,
"journal": null,
"number": null,
"pages": null,
"pub_year": 2023,
"publisher": "Springer",
"title": "Promoting Data Science in Mechanical Engineering Research and Education: An Exploration of the Hackathon Mechanism",
"volume": "9"
} | 0P9w_S0AAAAJ:t7zJ5fGR-2UC | 0 | null | null | https://link.springer.com/chapter/10.1007/978-3-031-05867-7_14 | /scholar?oi=bibs&hl=en&q=related:LIj6FIhMc8oJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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@article{benthall2022simulatingheterogeneousportfolio,
abstract = {Explaining the causes of financial crises requires relaxing some of the assumptions traditionally made by macroeconomic theory. We are able to simulate market crashes when consumer households have heterogeneous expectations of asset prices. These consumers earn, consume, and allocate their savings to either a risky or risk-free asset. As a departure from most macroeconomic models, the price of the risky asset is determined by a realistic agent-based simulation of a stock market, rather than through an idealized frictionless market model. Only a subset of agents in the market, the institutional investors, price the asset according to a rational expectations strategy based on an observed signal of the asset’s fundamental value. The consumers try to infer this fundamental value from the noisy price signal under bounded rationality conditions that limit their memory of and access to the price process. The consumers pass all of their buy and sell orders to the market in aggregate through a broker. This dynamic process of strategic interaction between heterogeneous macroeconomic agents and the agent-based financial market determines a new equilibrium price. We find that when the consumers have enough market power to overwhelm the institutional investors, the market will fail by driving the price of the risky asset to zero. This shows how one form of bounded rationality–ignorance about fundamental asset value–can contribute to financial crises. We also find that increasing the consumer market power leads to an increase in volatility (and a decrease in the price) of the risky asset. This suggests that there is an asymmetry whereby …},
author = {Sebastian Benthall and Christopher D. Carroll and Zachary David and John Liechty and Alan Lujan and Christopher McComb and Nicholas Skar-Gislinge},
citation = {AMPM 2022: 2nd Workshop on Agent-based Modelling and Policy-Making, 2022},
conference = {AMPM 2022: 2nd Workshop on Agent-based Modelling and Policy-Making},
pub_year = {2022},
title = {Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes}
}
| {
"ENTRYTYPE": "article",
"ID": "benthall2022simulatingheterogeneousportfolio",
"abstract": "Explaining the causes of financial crises requires relaxing some of the assumptions traditionally made by macroeconomic theory. We are able to simulate market crashes when consumer households have heterogeneous expectations of asset prices. These consumers earn, consume, and allocate their savings to either a risky or risk-free asset. As a departure from most macroeconomic models, the price of the risky asset is determined by a realistic agent-based simulation of a stock market, rather than through an idealized frictionless market model. Only a subset of agents in the market, the institutional investors, price the asset according to a rational expectations strategy based on an observed signal of the asset’s fundamental value. The consumers try to infer this fundamental value from the noisy price signal under bounded rationality conditions that limit their memory of and access to the price process. The consumers pass all of their buy and sell orders to the market in aggregate through a broker. This dynamic process of strategic interaction between heterogeneous macroeconomic agents and the agent-based financial market determines a new equilibrium price. We find that when the consumers have enough market power to overwhelm the institutional investors, the market will fail by driving the price of the risky asset to zero. This shows how one form of bounded rationality–ignorance about fundamental asset value–can contribute to financial crises. We also find that increasing the consumer market power leads to an increase in volatility (and a decrease in the price) of the risky asset. This suggests that there is an asymmetry whereby …",
"author": "Sebastian Benthall and Christopher D. Carroll and Zachary David and John Liechty and Alan Lujan and Christopher McComb and Nicholas Skar-Gislinge",
"citation": "AMPM 2022: 2nd Workshop on Agent-based Modelling and Policy-Making, 2022",
"conference": "AMPM 2022: 2nd Workshop on Agent-based Modelling and Policy-Making",
"journal": null,
"number": null,
"pages": null,
"pub_year": 2022,
"publisher": null,
"title": "Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes",
"volume": null
} | 0P9w_S0AAAAJ:hMsQuOkrut0C | 0 | null | null | https://ceur-ws.org/Vol-3420/paper4.pdf | /scholar?oi=bibs&hl=en&q=related:6urVIcdUUzAJ:scholar.google.com/ | null | null | null | null | null | null | null | null | null | [
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