Evidence map›Paper›PMID 41770472›Full record

ArticleCognitive research: principles and implications2026

Is there a "mind" behind the music? Attributing music to AI can suppress narrative meaning-making.

Sarah H Wu, Kevin J Holmes

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Sarah H WuDepartment of Psychology, Reed College, 3203 SE Woodstock Blvd, Portland, OR, 97202-8199, USA. sarwu@stanford.edu.ORCID 0009-0009-5369-2323
Kevin J HolmesDepartment of Psychology, Reed College, 3203 SE Woodstock Blvd, Portland, OR, 97202-8199, USA.ORCID 0000-0003-1373-0881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of AI-generated music has implications for how people derive meaning from the listening experience, including the propensity to imagine a story as music unfolds. Previous research suggests that such narrative listening requires some form of common ground between composer and listener. Therefore, people may be less likely to engage in narrative listening when they believe music is the product of an AI system rather than a human mind. We tested this possibility across two preregistered studies in which US participants (N = 399) listened to several pieces of instrumental music and reported their experience of narrative listening-whether they imagined a story and how engaging it was. When presented with unlabeled, human-composed music, participants reported imagining fewer and less engaging narratives in response to pieces they regarded as more likely computer generated than human composed (Study 1). When we experimentally manipulated the purported composer by labeling human- and AI-composed music clips as either "Human" or "AI" composed, the "AI"-labeled pieces elicited fewer and less engaging narratives than their "Human"-labeled counterparts, regardless of the actual composer (Study 2). Together, these findings suggest that ascribing music to AI is associated with-and can engender-an impoverished listening experience, devoid of the mental narratives that unfold as the composer's musical choices guide the listener's imagination. Our findings contribute to an emerging literature on perceptions of artificial creators, with practical implications for listeners, musicians, and policymakers.

Indexed as

Auditory PerceptionImaginationMusicNarrationAdolescentAdultFemaleHumansMaleYoung AdultAImeaning-makingmusicNarrative listening

Identifiers

PMID41770472
PMCPMC12953833

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.