Examining user engagement and use of fitness tracking technology through the lens of technology affordances
Xin Zhou,
Archana Krishnan and
Ersin Dincelli
Behaviour and Information Technology, 2022, vol. 41, issue 9, 2018-2033
Abstract:
The promise of fitness tracking technology in promoting positive health behaviours lies in its ability to allow users to track their physical activity, receive personalised feedback, and connect with other users. Previous studies have examined predictors of fitness tracker use and antecedents of user engagement. However, little is known about how technology affordances of fitness trackers motivate individuals to engage with the technology and whether the engagement can lead to fitness tracker use. Guided by the Motivational Technology Model (MTM) and Self-Determination Theory (SDT), this study examines the interplay among technology affordances (interactivity, navigability, and customisation) and psychological needs (relatedness, competence, and autonomy) to predict engagement with and use of fitness trackers. Using a sample of 970 American adults, we found that technology affordances significantly increased individuals’ sense of autonomy, competence, and relatedness, which in turn led to increased engagement with and use of fitness trackers. Among the three technology affordances, customisation had a direct effect on user engagement. Theoretical implications related to the MTM and the design implications of fitness tracking technology are discussed.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1915383 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:9:p:2018-2033
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2021.1915383
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().