2023/04/26 by Yoon Kyung Lee, Lee, Yoon Kyung, Yong-Ha Park +3 · 1 citation
Arts and Humanities · Medicine · Psychology · #Art Therapy and Mental Health #Artificial Intelligence (cs.AI) #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Technology and Human Factors in Education and Health
paper · pdf · doi:10.48550/arxiv.2304.13324
openalex publication_date 2023/04/26 · openalex created_date 2023/04/28 · openalex updated_date 2026/07/28
We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression. The focus is on the AI-generated artwork's ability to understand human intent (alignment) and visually represent emotions based on criteria such as creativity, aesthetic, novelty, amusement, and depth. Results show a preference for images based on the descriptions of the authors' emotions over the main events. We also found that images that overrepresent specific elements or stereotypes negatively impact AI alignment. Our findings suggest that AI could facilitate creativity and the self-expression of emotions. Our research framework with generative AIs can help design AI-based interventions in related fields (e.g., mental health education, therapy, and counseling).