Movement Sonification of Familiar Music to Support the Agency of People with Chronic Pain

要旨

FFAME (Filtering Familiar Audio for Movement Exploration) is a novel sonification framework aiming to facilitate movement in individuals with chronic back pain. Our personalised, music-based approach contrasts and extends prior work with predetermined tonal sonification. FFAME progressively filters selected music based on angles of the trunk. Through a qualitative analysis of reported experience of 15 participants with chronic pain and 5 physiotherapists, we identify how sonification parameters and musical characteristics affect movement and meaning-making. Music-based movement sonification proved impactful across multiple dimensions: (1) encouraging movement, (2) escaping pain-related rumination, (3) externalizing pain experiences, and (4) scaffolding physical activities. Drawing on enactivism and related philosophies, the study highlights how the semantic indeterminacy of music, combined with real-time movement sonification, created a rich, open-ended environment that supported user agency and exploration. Sonification for pain management can be creative and expressive, enabling people with pain to extend challenging movements and build movement confidence.

著者
Kyrill Potapov
University College London, London, United Kingdom
Nicolas E. Gold
University College London, London, United Kingdom
Temitayo Olugbade
University of Sussex, Brighton, United Kingdom
Amanda C de C Williams
University College London, London, United Kingdom
Christopher Dieter. Overbeck
UCL Interaction Centre, London, United Kingdom
Danielle Lynch
Her Majesty's Civil Service, London, United Kingdom
Minna Nygren
UCL, London, United Kingdom
Nadia Berthouze
University College London, London, United Kingdom
DOI

10.1145/3706598.3713601

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713601

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Music

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7 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
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