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Tracking physical activity: Problems related to running longitudinal studies with commercial devices

  • Daniel Harrison*
  • , Paul Marshall
  • , Nadia Berthouze
  • , Jon Bird
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    52 Citations (Scopus)

    Abstract

    The problems with inactive and sedentary lifestyles are widely recognised. People believe that activity tracking systems, such as the Fitbit, may aid them in meeting recommended levels of physical activity. Similar systems have been the subject of previous research, but many of these studies were conducted over a short-term and some results may be attributable to reactivity or novelty effects. We ran a longitudinal mixed-methods effectiveness study using the Fitbit Zip activity tracker with 50 participants. In this paper we present two main challenges experienced during this study: the unreliability of the device and a lack of engagement by some of the participants. The issues we experienced can help inform the design of future studies.

    Original languageEnglish
    Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
    PublisherAssociation for Computing Machinery
    Pages699-702
    Number of pages4
    ISBN (Electronic)9781450330473
    DOIs
    Publication statusPublished - 1 Jan 2014
    Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
    Duration: 13 Sept 201417 Sept 2014

    Conference

    Conference2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
    Country/TerritoryUnited States
    CitySeattle
    Period13/09/1417/09/14

    Research Groups and Themes

    • Bristol Interaction Group

    Keywords

    • Activity tracker
    • Behaviour change
    • Fitbit
    • Fitness
    • Health
    • In the wild
    • Pedometer
    • Personal device
    • Physical activity
    • Quantified self

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