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A Pilot Study on Personalised Coaching to Increase Older Adults' Physical and Social Activities
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2017 (English)In: Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017) / [ed] Juan F. De Paz, Vicente Julián, Gabriel Villarrubia, Goreti Marreiros, Paulo Novais, Springer, 2017, Vol. 615, p. 140-148Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this research is to conduct a pilot study of a prototype that provides feedback using theory-based motivating messages developed by older adults, in a context of every day activities that include both physical and social activities. The prototype mobile application integrated the messages, a motivational model, and a personalization module that selects motivational messages based on preferences, motivational profile and the situation. The four participating older adults used the application for planning and following up social and physical activities. They found the messages entertaining and appreciated the dialogues with the application. They used the dialogues primarily to reinforce their satisfaction regarding conducted activities and did not necessarily tell the truth about conduced activities in the interaction with the application. The results are preliminary, but give valuable implications for further development of the personalisation module towards more purposeful use of ambient information, and aspects to explore in future user studies.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 615, p. 140-148
Series
Advances in Intelligent Systems and Computing, E-ISSN 2194-5357
Keywords [en]
Behaviour change, Persuasive technology, Personalisation, Ambient intelligence, Physical activity, Social inclusion, Older adults
National Category
Human Computer Interaction Computer Sciences
Research subject
människa-datorinteraktion; Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-141030DOI: 10.1007/978-3-319-61118-1_18ISI: 000452846600018Scopus ID: 2-s2.0-85021678496ISBN: 978-3-319-61118-1 (electronic)ISBN: 978-3-319-61117-4 (print)OAI: oai:DiVA.org:umu-141030DiVA, id: diva2:1151099
Conference
Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017), Porto, Portugal, June 21-13, 2017.
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2019-01-22Bibliographically approved

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Janols, RebeckaGuerrero, EstebanLindgren, Helena

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Janols, RebeckaGuerrero, EstebanLindgren, Helena
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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