HealthSit: Designing Posture-Based Interaction to Promote Exercise during Fitness Breaks
Publication Date
June 2019
Document Type
Article
Publication Title
International Journal of Human-Computer Interaction
Volume
35
Issue
10
DOI
10.1080/10447318.2018.1506641
First Page
870
Last Page
885
Abstract
This research was motivated by a desire to help office workers change their sedentary behavior because a prolonged sedentary posture increases the risks of developing musculoskeletal injuries and chronic diseases, thus threatening their physical and psychological well-being. Regular breaks involving low-effort physical activities are effective in reducing the adverse impacts of inactive behaviors. In this article, we present the design of a posture-based interactive system called HealthSit, which was developed to promote a short lower-back stretching exercise during work breaks. Through a within-subject study involving 30 office workers, the effectiveness of HealthSit in facilitating the stretching exercise was examined by making comparisons between an interaction-aided, a guided, and a self-directed exercise mode. We also used HealthSit as a research probe to investigate the interactivity of the system in enhancing user experience and the psychological benefits of the fitness breaks. Compared with the other two modes, the interaction-aided exercise mode significantly improved the quality of the stretching exercise and enhanced motivation and emotional state. These results confirm the effectiveness of HealthSit in supporting fitness breaks as a new workplace technology. Based on our study, a set of design implications have been derived for technology-assisted fitness work breaks. © 2018, © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC.
Keywords
lower-back stretch, posture-based interaction, Work breaks, workplace fitness-promoting technology
Recommended Citation
Xipei Ren, Bin Yu, Yuan Lu, Yu Chen, and Pearl Pu. "HealthSit: Designing Posture-Based Interaction to Promote Exercise during Fitness Breaks" International Journal of Human-Computer Interaction (2019): 870-885. https://doi.org/10.1080/10447318.2018.1506641
Comments
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