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

要旨

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, re-interpretation, and deeper self-understanding. In particular, the CA’s strategies—supportive empathy, example response options, and visual-based 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.

著者
Youjin Choi
Gwangju Institute of Science and Technology, Gwangju, Buk-gu, Korea, Republic of
JaeYoung Moon
Gwangju Institute of Science and Technology, Gwangju, Buk-gu, Korea, Republic of
JinYoung Yoo
Gwangju Institute of Science and Technology, Gwangju , Korea, Republic of
Jennifer G. Kim
Georgia Institute of Technology, Atlanta, Georgia, United States
Jin-Hyuk Hong
Gwangju Institute of Science and Technology, Gwangju, Korea, Republic of

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Sound, Music, and Dance Accessibility

P1 - Room 120
7 件の発表
2026-04-15 20:15:00
2026-04-15 21:45:00