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• Fuzzy Feelings: Arousal's Interpretive Noise and the Case for Acoustic-Based Haptics

  Caluã de Lacerda Pataca, Stephanie Patterson, Roshan L Peiris, Matt Huenerfauth · 2026 · CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

  This CHI 2026 paper from a team at Rochester Institute of Technology and Birmingham City University tackles a persistent gap in captioning: traditional captions carry words but strip the emotional tone, rhythm, and vocal affect that sighted hearing viewers absorb automatically.…

  captioning · expressive captions · haptic feedback · vibrotactile · affective computing

• μCap: Instrumental Music Captions for Deaf and Hard-of-Hearing Individuals

  SooYeon Ahn, In-Chang Baek, KyungJoong Kim, Khai N. Truong, Jin-Hyuk Hong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Ahn and colleagues introduce μCap (Music Captions), an automatic captioning system that makes instrumental music accessible to Deaf and Hard-of-Hearing (DHH) audiences by producing time-aligned, non-lexical textual renderings — syllable-like strings such as 'Tta-da-ding' or…

  deaf and hard of hearing · DHH · captions · closed captions · music accessibility

• FAME: Exploring Expressive Facial Avatars for Lyrical and Non-Lyrical Music Visualization for d/Deaf Individuals

  Suhyeon Yoo, Yifang Pan, Ashish Ajin Thomas, Karan Singh, Khai N. Truong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates whether expressive facial avatars can carry the emotional and structural richness of music — rhythm, pitch, melody, lyrics, and emotion — to d/Deaf and Hard of Hearing (DHH) audiences in ways that captions and abstract visualizers cannot. The…

  Deaf music · DHH · music accessibility · facial avatar · music visualization

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

  Youjin Choi, JaeYoung Moon, JinYoung Yoo, Jennifer G. Kim, Jin-Hyuk Hong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Choi and colleagues designed, built, and evaluated a generative-AI music psychotherapy tool co-designed with licensed Korean music therapists for deaf and hard-of-hearing (DHH) users. The work is motivated by the observation that music psychotherapy — which uses songwriting,…

  music therapy · deaf accessibility · DHH · generative AI · conversational agent

4 results.