ArticleFrontiers in psychology2022
Assessing Emotion and Sensitivity of AI Artwork.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- An AI-generated art evaluation model that integrates computational aesthetics and cognitive psychology.Scientific reports · 2026Article
- Is there a "mind" behind the music? Attributing music to AI can suppress narrative meaning-making.Cognitive research: principles and implications · 2026Article
- Human-AI emotional resonance in generative music: a mini-review of authorship attribution, affective response, and aesthetic evaluation.Frontiers in psychology · 2026Review
- Review
- Creativity and aesthetic evaluation of AI-generated artworks: bridging problems and methods from psychology to AI.Frontiers in psychology · 2025Review
- Human perception of art in the age of artificial intelligence.Frontiers in psychology · 2024Article
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Authors and funding
4 authors.
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Abstract
Artificial Intelligence (AI) is currently present in areas that were, until recently, reserved for humans, such as, for instance, art. However, to the best of our knowledge, there is not much empirical evidence on how people perceive the skills of AI in these domains. In Experiment 1, participants were exposed to AI-generated audiovisual artwork and were asked to evaluate it. We told half of the participants that the artist was a human and we confessed to the other half that it was an AI. Although all of them were exposed to the same artwork, the results showed that people attributed lower sensitivity, lower ability to evoke their emotions, and lower quality to the artwork when they thought the artist was AI as compared to when they believed the artist was human. Experiment 2 reproduced these results and extended them to a slightly different setting, a different piece of (exclusively auditory) artwork, and added some additional measures. The results show that the evaluation of art seems to be modulated, at least in part, by prior stereotypes and biases about the creative skills of AI. The data and materials for these experiments are freely available at the Open Science Framework: https://osf.io/3r7xg/. Experiment 2 was preregistered at AsPredicted: https://aspredicted.org/fh2u2.pdf.
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