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XRMusic4VIP: Enabling Simultaneous Sheet Music Reading and Playing for Visually Impaired Musicians through Extended Reality

Anken, Julia K. ORCID iD icon 1; Blaess, Delia 2,3; Müller, Karin E. ORCID iD icon 1
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Zentrum für digitale Barrierefreiheit und Assistive Technologien (ACCESS@KIT), Karlsruher Institut für Technologie (KIT)

Abstract:

The use of assistive technologies for visually impaired musicians has been well documented, but the ability to visually read music and play simultaneously is still largely unexplored. Extended Reality (XR) could offer promising technology to support visually impaired people in this area. We address this research gap by examining the effectiveness of XR as a tool to read and play music at the same time, specifically for keyboard instruments. To achieve this, we chose a dual-phase human-centered approach that involved user participation. First, we conducted need-finding interviews with ten visually impaired participants to gather information about persisting challenges and their ideas on how to improve sheet music reading. Based on the results of these interviews, we then developed the XRMusic4VIP prototype. In the second phase, we conducted a user study with the same participants to evaluate the effectiveness of the prototype. Our findings indicate that the XRMusic4VIP prototype successfully enables the simultaneous reading of music and the playing of a keyboard instrument. Participants reported regaining their joy in making music and some of those who stopped playing because of their visual impairment can even imagine starting again.


Verlagsausgabe §
DOI: 10.5445/IR/1000188438
Veröffentlicht am 12.12.2025
Originalveröffentlichung
DOI: 10.1145/3663547.3746339
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Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Zentrum für digitale Barrierefreiheit und Assistive Technologien (ACCESS@KIT)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 26.10.2025
Sprache Englisch
Identifikator ISBN: 979-8-4007-0676-9
KITopen-ID: 1000188438
Erschienen in Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility. Ed.: Ed.: S. Kane, K. Shinohara, C. Bennett,, M. Mott
Veranstaltung 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025), Denver, CO, USA, 26.10.2025 – 29.10.2025
Verlag Association for Computing Machinery (ACM)
Seiten 1–15
Serie Proceedings
Vorab online veröffentlicht am 22.10.2025
Nachgewiesen in OpenAlex
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Scopus
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