Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment
The paper discusses the divergence between human and AI aesthetic evaluations. It highlights that while AI can approximate human tendencies in beauty ratings, significant differences remain in emotional responses and bodily sensations. These findings underscore challenges in aligning AI systems with human-like aesthetic processing.
- ▪Artificial intelligence is approaching and sometimes surpassing human performance in cognitive tasks.
- ▪The study compares human and AI responses to aesthetic evaluations using a set of questionnaire items.
- ▪Notable divergences were found in emotional responses and the relationship between beauty ratings and bodily sensations.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.18759 |
| Publication time | Wed, 20 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-20T04:04:59.484Z |
| Last seen | 2026-05-20T04:04:59.484Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 4l9XqVI1m9l4 |
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| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Human-Computer Interaction arXiv:2605.18759 (cs) [Submitted on 5 Apr 2026] Title:Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment Authors:Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi View a PDF of the paper titled Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment, by Yoshia Abe and 2 other authors View PDF HTML (experimental) Abstract:Artificial intelligence (AI), exemplified by large language models (LLMs), is rapidly approaching and in some cases surpassing human performance across a wide range of cognitive tasks. However, human nature is not limited to intelligence alone; it also encompasses sensibility, including the capacity to perceive and experience beauty in visual scenes.
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