11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Evaluation of a personalized coaching system for physical activity: user appreciation and adherence

  • @INPROCEEDINGS{10.1145/3154862.3154933,
        author={Julia Mollee and Anouk Middelweerd and Saskia te Velde and Michel Klein},
        title={Evaluation of a personalized coaching system for physical activity: user appreciation and adherence},
        proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ACM},
        proceedings_a={PERVASIVEHEALTH},
        year={2018},
        month={1},
        keywords={user experience user evaluation personalized coaching behavior change healthy lifestyle physical activity},
        doi={10.1145/3154862.3154933}
    }
    
  • Julia Mollee
    Anouk Middelweerd
    Saskia te Velde
    Michel Klein
    Year: 2018
    Evaluation of a personalized coaching system for physical activity: user appreciation and adherence
    PERVASIVEHEALTH
    ACM
    DOI: 10.1145/3154862.3154933
Julia Mollee1,*, Anouk Middelweerd2, Saskia te Velde2, Michel Klein1
  • 1: Vrije Universiteit Amsterdam
  • 2: VU Medical Center Amsterdam
*Contact email: j.s.mollee@vu.nl

Abstract

Physical inactivity is an increasingly serious global health problem, which implies a strong need for effective and engaging interventions. Smartphone technology offers new possibilities to address physical activity promotion. For app-based interventions to have an impact, both the effectiveness and user appreciation of the app are important. In this paper, we explore the user appreciation of the Active2Gether intervention, which offers personalized coaching to increase physical activity levels in daily life. The results are compared to the evaluation of a simplified version of the Active2Gether app (in which no coaching messages are sent) and the Fitbit app. Overall, the results reveal that users of a physical activity app appreciate a coaching feature to be included (on top of self-monitoring functionalities), but are also critical of how it is implemented (in terms of the number and content of the messages). The results also show that it is important to find a balance in the number of messages sent: too many messages seem to be perceived as annoying, but on the other hand, such system-initiated user interaction seems to reduce dropout.