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Balancing Overreliance and Mistrust in Data-Driven Decision Making: A Critical View on the Role of Quantified Self in Diabetes Management
Reykjavik University, Reykjavik, (ISL).ORCID iD: 0000-0002-4563-0001
University West, School of Business, Economics and IT, Divison of Informatics. Region Västra Götaland, NU Hospital Group, Trollhättan, (SWE). (LINA)ORCID iD: 0000-0002-0493-8974
2022 (English)In: CEUR Workshop Proceedings: 8th International Workshop on Socio-Technical Perspective in Information Systems Development, STPIS 2022; Conference date: 19 August 2022 through 20 August 2022; Conference code: 183336 / [ed] Bednar P., Bednar P., Islind A.S., Hult H.V., Hult H.V., Nolte A., Nolte A., Rajanen M., Zaghloul F., Ravarini A., Braccini A.M., CEUR-WS , 2022, Vol. 3239, p. 74-84Conference paper, Published paper (Other academic)
Abstract [en]

New self-care practices, such as self-management of chronic diseases, have emerged through mobile applications and devices, often designed, developed, and used outside the healthcare context. The development may lead to increased patient empowerment, shared decisionmaking and better communication, which is expected to benefit the care process. However, there are also potentially harmful effects related to safety, reliability, and security, with a corresponding need for understanding underlying algorithms and biases that may affect users. This calls for socio-technical perspectives, which take into consideration both the technological aspects of developing the app, as well as the social aspects of stakeholder involvement and collaborative design. In this paper, we describe the design and development of a mobile app for food nutrition information as part of diabetes self-management and critically discuss its implications for patients and designers. Our findings show that important learning aspects are connected to self-management, but there are also risks involved if too much or too little reliance is placed on the mobile app in the decision-making process. © 2022 Copyright for this paper by its authors.

Place, publisher, year, edition, pages
CEUR-WS , 2022. Vol. 3239, p. 74-84
Series
CEUR Workshops Proceedings, E-ISSN 1613-0073
Keywords [en]
Economic and social effects; Health care; Mobile computing; Social aspects; Critical researches; Data driven decision; Decisions makings; Diabetes management; Healthcare; Mobile app; Mobile applications; Quantified self; Self management; Socio-technical designs; Decision making
National Category
Information Systems, Social aspects Nursing
Research subject
Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-19324Scopus ID: 2-s2.0-85139827672OAI: oai:DiVA.org:hv-19324DiVA, id: diva2:1724758
Conference
8th International Workshop on Socio-Technical Perspective in Information Systems Development, STPIS 2022; Conference date: 19 August 2022 through 20 August 2022; Conference code: 183336
Available from: 2023-01-09 Created: 2023-01-09 Last updated: 2023-01-09Bibliographically approved

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Islind, Anna SigridurVallo Hult, Helena

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