Reference : Which App to Choose? An Online Tool that Supports the Decision-making Process of Recr...
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Which App to Choose? An Online Tool that Supports the Decision-making Process of Recreational Runners to Choose an App
Janssen, Mark []
Lallemand, Carine mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > ; Eindhoven University of Technology > Industrial Design]
Hoes, Kevin []
Vos, Steven []
Proceedings of the 6th International Conference on Design4Health Amsterdam 2020
[en] human-computer interaction ; physical activity ; health ; activity tracking ; apps ; smartphone ; decision-making ; appstores
[en] In recent years, there has been an exponential increase in the use of health and sports-related smartphone applications (apps). This is also reflected in App-stores, which are stacked with
thousands of health- and sports-apps, with new apps launched each day. These apps have great potential to monitor and support people’s physical activity and health. For users, however, it is difficult to know which app suits their needs. In this paper, we present an online tool that
supports the decision-making process for choosing an appropriate app. We constructed and validated a screening instrument to assess app content quality, together with the assessment of users’
needs. Both served as input for building the tool through various iterations with prototypes and user tests. This resulted in an online tool which relies on app content quality scores to match the users’ needs with apps that score high in the screening instrument on those particular needs. Users can add new apps to the database via the screening instrument, making the tool self supportive and future proof. A feedback loop allows users to give feedback on the recommended app and how well it meets
their needs. This feedback is added to the database and used in future filtering and recommendations. The principles used can be applied to other areas of sports, physical activity and health to help users
to select an app that suits their needs. Potentially increasing the long-term use of apps to monitor and to support physical activity and health.
Researchers ; Professionals ; Students

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