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Co-designing personal health? Multidisciplinary benefits and challenges in informing diabetes self-care technologies

Ayobi, Amid, Stawarz, Katarzyna ORCID:, Katz, Dmitri, Marshall, Paul, Yamagata, Taku, Santos-Rodriguez, Raul, Flach, Peter and O'Kane, Aisling Ann 2021. Co-designing personal health? Multidisciplinary benefits and challenges in informing diabetes self-care technologies. Proceedings of the ACM on Human-Computer Interactionn 5 (CSCW2) , 457. 10.1145/3479601

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Co-design is a widely applied design process with well-documented values, including mutual learning and collective creativity. However, the real-world challenges of conducting multidisciplinary co-design research to inform the design of self-care technologies are not well established. We provide a qualitative account of a multidisciplinary project that aimed to co-design machine learning applications for Type 1 Diabetes (T1D) self-management. Through interviews, we identify not only perceived social, technological and strategic benefits of co-design but also organisational, translational and pragmatic design challenges: participants with T1D experienced difficulties in co-designing systems that met their individual self-care needs as part of group activities; HCI and AI researchers described challenges resulting from applying co-design outcomes to data-driven ML work; and industry collaborators highlighted academic data sharing regulations as cross-organisational challenges that can impede co-design efforts. Based on this understanding, we discuss opportunities for supporting multidisciplinary collaborations and aligning individual health needs with collaborative co-design activities.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
ISSN: 2573-0142
Date of First Compliant Deposit: 18 August 2021
Date of Acceptance: 31 July 2021
Last Modified: 06 Nov 2023 14:41

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