Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications
Kimaya Lecamwasam, Tishya Ray Chaudhuri

TL;DR
This study examines how listeners perceive AI-generated versus human-composed music in emotional contexts, revealing preferences for AI but perceptions of greater emotional authenticity for human music, with implications for design in affective tech.
Contribution
It provides empirical insights into listener perceptions of AI versus human music, highlighting the importance of authenticity and emotional impact in wellness applications.
Findings
Participants preferred AI-generated music overall.
Human music was perceived as more authentic and emotionally effective.
No significant difference in emotional response between AI and human music.
Abstract
This work investigates how listeners perceive and evaluate AI-generated as compared to human-composed music in the context of emotional resonance and regulation. Across a mixed-methods design, participants were exposed to both AI and human music under various labeling conditions (music correctly labeled as AI- or human-origin, music incorrectly labeled as AI- or human-origin, and unlabeled music) and emotion cases (Calm and Upbeat), and were asked to rate preference, efficacy of target emotion elicitation, and emotional impact. Participants were significantly more likely to rate human-composed music, regardless of labeling, as more effective at eliciting target emotional states, though quantitative analyses revealed no significant differences in emotional response. However, participants were significantly more likely to indicate preference for AI-generated music, yielding further…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDiverse Interdisciplinary Research Innovations · Color perception and design
