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The STAR-C Intelligent Coach: a Cross- Disciplinary Design Process of a Behaviour Change Intervention in Primary Care
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-6035-800x
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health.
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2020 (English)In: pHealth 2020: Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health / [ed] Blobel, B., Lhotska, L., Pharow, P., Sousa, F., IOS Press, 2020, Vol. 273, p. 203-208Conference paper, Published paper (Refereed)
Abstract [en]

A broad range of aspects are needed to be taken into consideration in the design and development of personalized coaching systems based on artificial intelligence methodologies. This research presents the initial phase of joining different professional and stakeholder perspectives on behavior change technologies into a flexible design proposal for a digital coaching system. The diversity and sometimes opposed views on content, behavior, purposes and context were managed using a structured argument-based design approach, which also feed into the behavior of the personalized system. Results include a set of personalization strategies that will be further elaborated with the target user group to manage sensitive issues such as ethics, social norms, privacy, motivation, autonomy and social relatedness.

Place, publisher, year, edition, pages
IOS Press, 2020. Vol. 273, p. 203-208
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 273
Keywords [en]
personalization, behavior change, participatory action design, intelligent agents, cardiovascular diseases, argumentation theory, persuasive technology
National Category
Computer Sciences Human Computer Interaction Other Medical Engineering Public Health, Global Health, Social Medicine and Epidemiology
Research subject
Computer Science; human-computer interaction; medical informatics
Identifiers
URN: urn:nbn:se:umu:diva-175213DOI: 10.3233/SHTI200640ISI: 000648601600025PubMedID: 33087613Scopus ID: 2-s2.0-85092433894ISBN: 978-1-64368-112-2 (print)OAI: oai:DiVA.org:umu-175213DiVA, id: diva2:1469402
Conference
pHealth 2020, virtual conference, 14–16 September, 2020
Part of project
STAR-C: Sustainable behaviour change for health supported by person-Tailored, Adaptive, Risk-aware digital Coaching in a social context , Forte, Swedish Research Council for Health, Working Life and Welfare
Funder
Forte, Swedish Research Council for Health, Working Life and WelfareAvailable from: 2020-09-21 Created: 2020-09-21 Last updated: 2023-09-05Bibliographically approved

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Lindgren, HelenaGuerrero, EstebanJingar, MonikaLindvall, KristinaNg, NawiRichter Sundberg, LindaSantosa, AilianaWeinehall, Lars

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Lindgren, HelenaGuerrero, EstebanJingar, MonikaLindvall, KristinaNg, NawiRichter Sundberg, LindaSantosa, AilianaWeinehall, Lars
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Department of Computing ScienceDepartment of Epidemiology and Global HealthCentre for Demographic and Ageing Research (CEDAR)
Computer SciencesHuman Computer InteractionOther Medical EngineeringPublic Health, Global Health, Social Medicine and Epidemiology

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CiteExportLink to record
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