Abstract
This study employs an experiment to test assessments of music composed by artificial intelligence. We examined the influence of (a) met or unmet expectations about artificial intelligence (AI)-composed music, (b) whether the music is better or worse than expected, and (c) the genre of the evaluation of music using a 2 (expectancy violation vs confirmation) × 2 (positive vs negative evaluation) × 2 (electronic dance music vs classical) design. The relationship between the belief about creative AI and the music evaluation was also analyzed. Participants ( n = 299) in an online survey listened to a randomly assigned music piece. The acceptance of creative AI was found to have a positive relationship with the assessment of AI-composed music. A two-way interaction between the expectancy violation and its valence, and a three-way interaction between the expectancy violation, its valence, and the genre of music were found. Implications for Expectancy Violation Theory and AI applications are discussed.
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