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Facilitating Physical Activity through On-Site Quantified-Self Data Sharing

Author

Listed:
  • Nan Yang

    (Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Gerbrand van Hout

    (Obesity Center, Catharina Hospital, 5623 EJ Eindhoven, The Netherlands)

  • Loe Feijs

    (Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Wei Chen

    (Department of Electronic Engineering, Fudan University, Shanghai 200433, China)

  • Jun Hu

    (Department of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

Abstract

With the development of sensing technology and the popularization of quantified-self devices, there are increasing types of health-related data that can be sensed, visualized and presented to the user. However, most existing quantified-self applications are designed to support self-management and self-reflection; only a few studies so far have investigated the social aspect of quantified-self data. In this study, we investigated the social role of quantified-self data by introducing the design and evaluation of SocialBike—a digitally augmented bicycle that aims to increase the user’s intrinsic motivation in physical activity through on-site quantified-self data sharing. We conducted a controlled experiment on a cycling simulation system. Two forms of SocialBike’s on-bike display were evaluated with 36 participants. We used the Intrinsic Motivation Inventory to collect quantitative data about users’ intrinsic motivation in physical activity; the cycling simulation system recorded quantitative data about user behavior. Qualitative data was collected through semi-structured interviews. We conducted paired sample t-test to analyze both types of quantitative data; qualitative data were analyzed by the method of thematic analysis. The results show that SocialBike’s front display significantly increased users’ intrinsic motivation in physical activity. A total of nine themes were identified from the qualitative analysis, providing supplementary explanations for the quantitative results and additional insights into the overall design.

Suggested Citation

  • Nan Yang & Gerbrand van Hout & Loe Feijs & Wei Chen & Jun Hu, 2020. "Facilitating Physical Activity through On-Site Quantified-Self Data Sharing," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4904-:d:372133
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    References listed on IDEAS

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    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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