A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art
April 26, 2023 Β· Declared Dead Β· π Annual Meeting of the Cognitive Science Society
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Authors
Yoon Kyung Lee, Yong-Ha Park, Sowon Hahn
arXiv ID
2304.13324
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
11
Venue
Annual Meeting of the Cognitive Science Society
Last Checked
4 months ago
Abstract
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).
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