研究发现人们对AI音乐的喜好主要受对AI态度影响。
Perception of AI-Generated Music -- The Role of Composer Identity, Personality Traits, Music Preferences, and Perceived Humanness
- 通过混合方法分析听众对AI作曲的感知与评价
- 对AI的态度是影响喜爱度和情感强度的最佳预测因子
- 听众评判标准涉及伦理、文化等深层考量
AI生成艺术的快速发展引发了关于受众评价中潜在偏见的讨论。本研究采用混合方法，探究作曲者身份信息及听众特征如何影响对AI生成音乐的感知。使用来自两个AI音乐模型、涵盖多种流派的多样化音乐样本，考察感知作者身份对喜好度和情绪反应的影响，并分析对AI的态度、人格特质及音乐相关变量的作用。进一步评估感知人性化程度，并通过开放式回答挖掘听众评判标准。量化结果显示，对AI的态度是预测喜好度和情感强度的最佳因素。定性分析揭示了伦理、文化与情境因素是听众评价的重要维度。研究为理解人机交互中音乐感知提供了细致视角，并指出了未来研究的关键因素与方法论注意事项。
原文摘要 · Abstract (English)
The rapid rise of AI-generated art has sparked debate about potential biases in how audiences perceive and evaluate such works. This study investigates how composer information and listener characteristics shape the perception of AI-generated music, adopting a mixed-method approach. Using a diverse set of stimuli across various genres from two AI music models, we examine effects of perceived authorship on liking and emotional responses, and explore how attitudes toward AI, personality traits, and music-related variables influence evaluations. We further assess the influence of perceived humanness and analyze open-ended responses to uncover listener criteria for judging AI-generated music. Attitudes toward AI proved to be the best predictor of both liking and emotional intensity of AI-generated music. This quantitative finding was complemented by qualitative themes from our thematic analysis, which identified ethical, cultural, and contextual considerations as important criteria in listeners' evaluations of AI-generated music. Our results offer a nuanced view of how people experience music created by AI tools and point to key factors and methodological considerations for future research on music perception in human-AI interaction.
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