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Designing a Generative AI-Assisted Music Psychotherapy Tool for Deaf and Hard-of-Hearing Individuals

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Author(s)
Choi, YoujinMoon, JaeYoungYoo, JinYoungKim, Jennifer G.Hong, Jin-Hyuk
Type
Conference Paper
Citation
2026 Conference on Human Factors in Computing Systems-CHI
Issued Date
2026-04-13
Abstract
Songwriting has long served as a powerful medium for expressing unconscious emotions and fostering self-awareness in psychotherapy. Due to the auditory-centric nature of traditional approaches, Deaf and Hard-of-Hearing (DHH) individuals have often been excluded from music's therapeutic benefits. In response, this study presents a music psychotherapy tool co-designed with therapists, integrating conversational agents (CAs) and music generative AI as symbolic and therapeutic media. Through a usage study with 23 DHH individuals, we found that collaborative songwriting with the CA enabled them to experience emotional release, reinterpretation, and deeper self-understanding. In particular, the CA's strategies-supportive empathy, example response options, and visualbased metaphors-were found to facilitate musical dialogue effectively for DHH individuals. These findings contribute to inclusive AI design by showing the potential of human-AI collaboration to bridge therapeutic and artistic practices.
Publisher
ASSOC COMPUTING MACHINERY
Conference Place
US
Barcelona, SPAIN
URI
https://scholar.gist.ac.kr/handle/local/34387
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