LLMs approximate human patterns in beauty-emotion links and image feature priorities but diverge in emotional response distributions and especially in beauty-bodily sensation relationships.
Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features,
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Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment
LLMs approximate human patterns in beauty-emotion links and image feature priorities but diverge in emotional response distributions and especially in beauty-bodily sensation relationships.