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A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning
Yunlong Wang1, Laura M König2, Harald Reiterer1
1Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
JMIR Formative Research
|January 27, 2021
Summary
The SedVis mobile app, using mobility pattern visualization, helped reduce sedentary hours. Frequent app use weakly correlated with greater reductions in sedentary behavior, suggesting potential for behavior change interventions.
Area of Science:
- Behavioral Science
- Digital Health
- Human-Computer Interaction
Background:
- Prolonged sedentary behavior is a significant risk factor for chronic diseases.
- There is a need for practical solutions to mitigate health risks associated with sedentary lifestyles.
Purpose of the Study:
- To investigate the effect of mobility pattern visualization on action planning for sedentary behavior change.
- To evaluate user engagement and experience with the SedVis mobile app.
Main Methods:
- A 3-week study with 16 participants comparing an intervention group (visualizations and action planning) with an active control group (action planning only).
- Smartphone sensor data estimated sedentary behavior; app recorded action plans and interactions.
- Questionnaires assessed intention to change and user experience.
Main Results:
- Mobility pattern visualization did not significantly affect action planning.
- The intervention group showed a weak positive effect on reducing sedentary hours compared to the control group.
- Higher app usage frequency was weakly associated with greater reductions in sedentary behavior.
Conclusions:
- Smartphone apps with mobility pattern visualization show promise for inducing sedentary behavior change, potentially exceeding action planning alone.
- Larger sample studies are required to validate these findings and confirm the effectiveness of such digital health interventions.

