{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T05:08:13Z","timestamp":1788412093812,"version":"build-2803163510"},"reference-count":68,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Research Council of Finland","doi-asserted-by":"publisher","award":["346210"],"award-info":[{"award-number":["346210"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Empirical Studies of the Arts"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p>\n                    Contextual information can shape the aesthetic judgements of music compositions. Recently, a study proposed the existence of an AI composer bias; namely, listeners tend to like music less when they think (or are told) that it was composed by an AI. In this online study (\n                    <jats:italic toggle=\"yes\">N\u2009<\/jats:italic>\n                    =\u2009120), we used a cross-over experimental design to verify whether such bias extends to audiovisual music performance. The participants rated three videos of classic piano music performances in two versions with identical audio: one with a professional pianist who pretended to play, and one with the piano playing automatically, allegedly thanks to an AI. As hypothesised, the participants rated the performances as more likeable, engaging, higher in emotional valence, and of higher quality when the pieces were \u201cperformed\u201d by the pianist. Notably, these effects were insensitive to the participants\u2019 musical expertise but moderated by their attitudes toward AI. Interestingly, when asked what differences they had found between the two renditions, the participants confabulated about differences in rhythm, tempo variations, dynamics, and dissonances, pointing to underlying psychological processes, such as expectations and beliefs about humanness. Implications for Aesthetics and the Psychology of Art are discussed.\n                  <\/jats:p>","DOI":"10.1177\/02762374241308807","type":"journal-article","created":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T10:04:22Z","timestamp":1736935462000},"page":"1137-1161","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":19,"title":["AI Performer Bias: Listeners Like Music Less When They Think it was Performed by an AI"],"prefix":"10.1177","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0657-5732","authenticated-orcid":false,"given":"Alessandro","family":"Ansani","sequence":"first","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0877-7100","authenticated-orcid":false,"given":"Friederike","family":"Koehler","sequence":"additional","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Giombini","sequence":"additional","affiliation":[{"name":"Roma Tre University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matias","family":"H\u00e4m\u00e4l\u00e4inen","sequence":"additional","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Meng","sequence":"additional","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Marini","sequence":"additional","affiliation":[{"name":"IMT School for Advanced Studies Lucca"},{"name":"Institute of Cognitive Sciences and Technologies \u2013 National Research Council of Italy (ISTC-CNR)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suvi","family":"Saarikallio","sequence":"additional","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,1,15]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jom.2017.06.001"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0221616"},{"key":"e_1_3_4_4_1","unstructured":"Aimee May: Embracing the Future with Aimee May: AI Model and AI Influencer. 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