A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art

April 26, 2023 Β· Declared Dead Β· πŸ› 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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