This work investigates how listener perception of AI-generated versus human-composed music affects emotional resonance and regulation and challenges the assumption that preference alone defines system success, highlighting design implications for affective and wellness technologies that foreground authenticity, transpa...
Kimaya Lecamwasam, Tishya Ray Chaudhuri· 4 citations
Generative artificial intelligence is increasingly involved in music creation, raising important questions about how listeners emotionally respond to music that is generated by, or attributed to, AI. This mini-review synthesizes recent empirical research on listeners' emotional, aesthetic, and physiological responses t...
Wen-Ting He, Yu-Yi Sun· Frontiers in Psychology· 0 citations
As generative Artificial Intelligence (AI) models achieve high fidelity in mimicking musical structures and timbres, debates surrounding the role of human agency in listener engagement emerge. As the music industry moves to algorithmic music to ensure efficiency, it is not yet clear whether audiences are appreciating m...
A. Kirui· E-Journal of Humanities, Art...· 0 citations
Effective affective communication is essential for collaborative human-robot interaction, as emotional expressions can enhance trust and collaboration with robots. This paper addresses this need by investigating whether a musically-informed sound design or a color-based display is more effective for emotional expressio...
Ayden Janssen, R. Ringe, Lisa Hesselbarth et al.· Message Understanding Confer...· 0 citations
Large language models increasingly elicit responses that exceed instrumental use, inviting users to relate to conversational systems as if they possessed an inner perspective, memory, and affective responsiveness. This paper argues that the relevant phenomenon is not adequately captured by the binary between machine se...
David Leucas, Sylvia Iasulaitis, Helena de Medeiros Caseli· 2026 14th International Conf...· 0 citations
Vocal expressiveness is a critical determinant of social presence in Human-Robot Interaction, particularly in assistive domains. While Large Language Models have significantly advanced conversational capabilities, standard Textto-Speech engines often lack the emotional depth required for empathic interaction, leading t...
Federica Picca, Aurora Toma, Davide Lofrese et al.· IEEE International Symposium...· 0 citations
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