University of Oulu

Korhonen, O. & Kari, T. (2022). Physical activity application supporting young elderly: Insights for personalization. 35Th Bled EConference Digital Restructuring and Human (Re)Action, 81–95. https://doi.org/10.18690/um.fov.4.2022.5

Physical activity application supporting young elderly : insights for personalization

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Author: Korhonen, Olli1; Kari, Tuomas2,3
Organizations: 1M3S, Faculty of Information Technology and Electrical Engineering (ITEE), University of Oulu, Finland
2Institute for Advanced Management Systems Research, Turku, Finland
3Natural Resources Institute Finland (Luke), Helsinki
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022102663303
Language: English
Published: , 2022
Publish Date: 2022-10-26
Description:

Abstract

Digital wellness technologies, such as physical activity applications, are potential solutions in promoting physical activity among young elderly. In this study, we qualitatively analyzed how can a physical activity application enable a more personalized support for physical activity among young elderly. As a result of our thematic analysis, we identified three different categories that represent the central wishes and needs of young elderly for physical activity applications to enable a more personalized support: 1) More holistic data collection that combines physical activity data and health-related data, 2) Sharing the physical activity data with healthcare professionals, and 3) Tracking small acts of everyday life. We suggest that these findings can increase the understanding on the viewpoint of young elderly and provide insights to be used in the design of personalized digital wellness services and products in the future.

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ISBN: 978-961-286-616-7
Pages: 81 - 95
DOI: 10.18690/um.fov.4.2022.5
OADOI: https://oadoi.org/10.18690/um.fov.4.2022.5
Host publication: 35 th Bled eConference digital restructuring and human (re)action
Host publication editor: Pucihar, A.
Kljajić Borštnar, M.
Bons, R.
Sheombar, A.
Ongena, G.
Vidmar, D.
Conference: Bled eConference
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: The Social Insurance Institution of Finland has funded the DigitalWells program and research project.
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