DuoRhythmo: Design and remote user experience evaluation (UXE) of a collaborative accessible digital musical interface (CADMI) for people with ALS (PALS)

Balazs Andras Ivanyi, Truls Bendik Tjemsland, Christian Vasileios Tsalidis De Zabala, Lilla Julia Toth, Marcus Alexander Dyrholm, Scott James Naylor, Ann Paradiso, Dwayne Lamb, Jarnail Chudge, Ali Adjorlu, Stefania Serafin

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstract

We present DuoRhythmo, a collaborative accessible digital musical interface (CADMI) that gives people living with Amyotrophic Lateral Sclerosis (PALS) the experience of remotely and collaboratively creating music in real-time. We designed DuoRhythmo specifically to be utilized for eye tracking and optimized it for head- and computer mouse interaction, as well using a user-centered design approach. Together with five PALS, we completed a mixed-methods evaluation to assess the accessibility of DuoRhythmo. Participants described the CADMI using the Microsoft Desirability Toolkit (MDT) as fun, empowering, accessible, easy to use, engaging, and stimulating and gave an average System Usability Scale (SUS) score of 79.5. We suggest further research on remote collaboration within the field of accessible digital musical instruments (ADMIs) using the term CADMI to explore the positive effects of collaborative music-making on the quality of life of PALS.

OriginalsprogEngelsk
TitelCHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
ForlagAssociation for Computing Machinery
Publikationsdato19 apr. 2023
Sider1-13
Artikelnummer56
ISBN (Elektronisk)978-1-4503-9421-5
DOI
StatusUdgivet - 19 apr. 2023
Begivenhed2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Tyskland
Varighed: 23 apr. 202328 apr. 2023

Konference

Konference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Land/OmrådeTyskland
ByHamburg
Periode23/04/202328/04/2023
SponsorACM SIGCHI, Apple, Bloomberg, Google, NSF, Siemens

Bibliografisk note

Publisher Copyright:
© 2023 ACM.

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