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

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arxiv 2304.13324 v1 pith:YVCVKVE6 submitted 2023-04-26 cs.AI cs.HC

classification cs.AIcs.HC
keywords emotionsai-generatedalignmentauthorscreativitygenerativeimagesself-expression
verification ladder T0 review T1 audit T2 compute T3 formal
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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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