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  # Digital Mirror of the Soul - AI-Assisted Self-Images with Prompts and Psychological Questionnaires
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- This dataset originates from a study that examines the intersection of artificial intelligence, psychology, and art. It provides a comprehensive collection of AI-generated images and textual prompts from participants engaging in a task designed to express their self-image. This work is ideal for researchers in the fields of psychology, artificial intelligence, and art therapy, offering a novel dataset for exploring self-representation and the psychological dimensions of AI-assisted art creation.
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  ## Dataset Details
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  ### Dataset Description
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- This dataset comprises 18,219 images and 6,519 textual prompts created by 153 participants using the Midjourney v.4 and subsequently upgraded to v.5 AI software. Participants were tasked to create images that they believe are reflective of their personality, with a creation window limited to 45 minutes, meaning each entry is a participant's attempt to visualize aspects of their self-perception. In addition to image creation, participants completed a series of psychological questionnaires, detailed further in the description. They also engaged in a 15-20 minute interview with a psychology student, discussing the creation process, their images, and along with any thoughts, feelings, or memories evoked during the procedure. This dataset, containing the images, prompts, and results of various psychological questionnaires, supports a variety of research objectives, including the development of models to analyze visual and verbal self-expression, their development and temporal changes over the image creating session, and their potential use in inferring relevant psychological constructs ranging from body image, perfectionism, self-esteem, stability of identity, and BIG5 personality traits.
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  - **Curated by:** Klaus Kellerwessel (0009-0005-6420-5691) and Lilla Juhász
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  - **Funded by:** ÚNKP-23-2 New National Excellence Program of the Ministry for Culture and Innovation from the source of the Hungarian National Research, Development, and Innovation Fund.
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  ### Dataset Sources [Optional]
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  - **Repository:** [https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests](https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests)
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- - **Paper [Optional]:** Under revision - we will add it later
 
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  ## Uses
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- The dataset is intended for academic researchers and practitioners interested in the cross-disciplinary areas of AI, psychology, and art therapy. It offers a unique dataset for studying the nuances of self-representation, providing a basis for both quantitative and qualitative analyses. Researchers interested in machine learning, gender studies, and the psychological impact of AI on art creation will find this dataset particularly useful. It facilitates a deeper understanding of the role of AI in art therapy practices and the broader implications for psychological research.
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  ### Direct Use
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  ## Dataset Structure
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- The dataset is structured with comprehensive metadata for each participant's AI-generated images and textual prompts. Here's a guide to navigating and utilizing this rich dataset:
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  ### Overview
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  ### Columns Description
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- - **Participant_ID:** Each participant created a unique identifier for themselves. This was necessary because participants filled in the questionnaires online one day before the image creation procedure, and we needed to connect the questionnaire results to the images and interviews somehow. We opted not to generate an ID from the participants' names due to privacy concerns, and this self-chosen approach seemed to work. Since the participants were all Hungarian, they sometimes used Hungarian words like "kémény" (chimney), "teknős" (turtle), and some in English (e.g., "soviet cat") or seemingly nonsensical (e.g., "t2ki7m") IDs also appear.
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  - **Image number:** A sequential number indicating the order of the image generated by the participant. Images generated from the same prompt at the same session (see Event type) share their Image number.
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  - **Text Prompt:** The textual description provided by the participant to generate the image in natural language.
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  - **Event type:** Describes the nature of the image generation event: "imagine" for initial creations, "variation" for variations of an initial image, and "upscale" for a bigger and more detailed version of an initial image. The Midjourney program generates 4 images per 1 prompt for the initial image type "imagine" and their "variations", resulting in these images sharing image numbers in groups of 4 (see Image numbers).
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  ### Curation Rationale
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- As passive recipients, we often differentiate sharply between AI and human-made artworks. However, studies show that when individuals personally engage with AI art softwares, they tend to view the creative process as collaborative, feeling a sense of ownership over the finished works. This type of involvement and sense of personal connection can serve as a basis for the use of these tools in art therapy and even psychometrics. This dataset primarily investigates how individuals can express complex psychological states through AI-generated art - and whether it is possible to deduce them from only the images and the prompts used.
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  ### Source Data
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  ### Recommendations
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- Researchers are encouraged to approach the dataset with a multidisciplinary perspective, integrating insights from psychology, artificial intelligence, and art theory. This dataset offers a unique opportunity to explore the boundaries of AI-mediated human expression and its implications for psychological research and practice. Careful, ethical analysis can lead to significant advancements in our understanding of AI as a tool for self-exploration and expression in both clinical and research settings.
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  ## Citation [Optional]
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  **APA:**
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- Kellerwessel, K. (2024). AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests (Revision cfbe255) [Adatbázis]. Hugging Face. https://doi.org/10.57967/hf/1942
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  ## Dataset Card Authors [Optional]
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- Klaus Kellerwessel (Eötvös Loránd Tudományegyetem, Budapest; University of Pannonia, Veszprém)
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  ## Dataset Card Contact
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  # Digital Mirror of the Soul - AI-Assisted Self-Images with Prompts and Psychological Questionnaires
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+ This dataset originates from a study that examines the intersection of artificial intelligence, psychology, and art. It provides a comprehensive collection of AI-generated images and textual prompts from participants engaging in a task designed to express their self-image. This work is ideal for researchers in the fields of clinical and art psychology, and data science, offering a novel dataset for exploring the psychological dimensions of AI-assisted art creation.
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  ## Dataset Details
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  ### Dataset Description
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+ This dataset comprises 18,219 images and 6,519 textual prompts created by 153 participants using the Midjourney v.4 and v.5 software. Participants had 45 minutes to create images that they believe are reflective of their personality, meaning each entry is a participant's attempt to visualize aspects of themself. In addition to image creation, participants completed a series of psychological questionnaires, detailed further in the description. They also engaged in a 15-20 minute interview with a psychology student, discussing the creation process, their images, along with any thoughts, feelings, or memories evoked during the procedure. This dataset, containing the images, prompts, and results of various psychological questionnaires, supports a variety of research objectives, including the development of models to analyze visual and verbal self-expression, their development and temporal changes over the image creating session, and their potential use in inferring relevant psychological constructs ranging from depression, big5 personality traits, body image, perfectionism, self-esteem, stability of identity, and so on.
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  - **Curated by:** Klaus Kellerwessel (0009-0005-6420-5691) and Lilla Juhász
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  - **Funded by:** ÚNKP-23-2 New National Excellence Program of the Ministry for Culture and Innovation from the source of the Hungarian National Research, Development, and Innovation Fund.
 
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  ### Dataset Sources [Optional]
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  - **Repository:** [https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests](https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests)
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+ - **Paper [Optional]:** In Hungarian: „Kreálok valamit, csak így szavakból!” – mesterséges intelligencia és művészet az énképmérésben (2024) - https://www.researchgate.net/publication/382805622_Krealok_valamit_csak_igy_szavakbol_-_mesterseges_intelligencia_es_muveszet_az_enkepmeresben; In English: "Not the happiest words came to my mind" – prediction of depression score based on AI art prompts - Under revision
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+
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  ## Uses
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+ The dataset is intended for academic researchers and practitioners interested in the cross-disciplinary areas of AI, psychology, and art therapy. It offers a unique dataset for both quantitative and qualitative analyses.
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  ### Direct Use
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  ## Dataset Structure
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+ The dataset is structured with comprehensive metadata for each participant's AI-generated images and textual prompts. Here's a guide to navigating and utilizing this dataset:
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  ### Overview
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  ### Columns Description
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+ - **Participant_ID:** Each participant created a unique identifier for themselves. This was necessary because participants filled in the questionnaires online one day before the image creation procedure, and we needed to connect the questionnaire results to the images and interviews somehow. We opted not to generate an ID from the participants' names due to privacy concerns, and this self-chosen approach seemed to work. Since the participants were all Hungarian, sometimes Hungarian words like "kémény" (chimney), "teknős" (turtle), and some English (e.g., "soviet cat") or seemingly nonsensical (e.g., "t2ki7m") ones also appear in the ID-s.
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  - **Image number:** A sequential number indicating the order of the image generated by the participant. Images generated from the same prompt at the same session (see Event type) share their Image number.
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  - **Text Prompt:** The textual description provided by the participant to generate the image in natural language.
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  - **Event type:** Describes the nature of the image generation event: "imagine" for initial creations, "variation" for variations of an initial image, and "upscale" for a bigger and more detailed version of an initial image. The Midjourney program generates 4 images per 1 prompt for the initial image type "imagine" and their "variations", resulting in these images sharing image numbers in groups of 4 (see Image numbers).
 
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  ### Curation Rationale
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+ As passive recipients, we often differentiate sharply between AI and human-made artworks. However, studies show that when individuals personally engage with AI art softwares, they tend to view the creative process as collaborative, feeling a sense of ownership over the finished works. This type of involvement and sense of personal connection can serve as a basis for the use of these tools in art therapy and even psychometrics. This dataset primarily investigates how individuals can express complex psychological states through AI-generated art - and whether it is possible to infer these states from only the images and the prompts used.
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  ### Source Data
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  ### Recommendations
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+ This dataset offers a unique opportunity to explore the boundaries of AI-mediated human expression and its implications for psychological research and practice. Careful, ethical analysis can lead to significant advancements in our understanding of AI as a tool for self-exploration and expression in both clinical and research settings.
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  ## Citation [Optional]
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  **APA:**
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+ Kellerwessel, K. (2024). AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests (Revision cfbe255) [Dataset]. Hugging Face. https://doi.org/10.57967/hf/1942
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  ## Dataset Card Authors [Optional]
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+ Klaus Kellerwessel (Eötvös Loránd Tudományegyetem, Budapest; Moholy-Nagy University of Art and Design, Budapest)
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  ## Dataset Card Contact
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