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StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activity Among Families of Low-SES Backgrounds

Published: 07 May 2021 Publication History

Abstract

Physical activity (PA) is crucial for reducing the risk of obesity, an epidemic that disproportionately burdens families of low-socioeconomic status (SES). While fitness tracking tools can increase PA awareness, more work is needed to examine (1) how such tools can help people benefit from their social environment, and (2) how reflections can help enhance PA attitudes. We investigated how fitness tracking tools for families can support social modeling and self-modeling (through reflection), two critical processes in Social Cognitive Theory. We developed StoryMap, a novel fitness tracking app for families aimed at supporting both modes of modeling. Then, we conducted a five-week qualitative study evaluating StoryMap with 16 low-SES families. Our findings contribute an understanding of how social and self-modeling can be implemented in fitness tracking tools and how both modes of modeling can enhance key PA attitudes: self-efficacy and outcome expectations. Finally, we propose design recommendations for social personal informatics tools.

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    CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
    May 2021
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    ISBN:9781450380966
    DOI:10.1145/3411764
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    1. Family
    2. Health
    3. Low-SES
    4. Physical Activity
    5. Self-Efficacy
    6. Self-Modeling
    7. Social Cognitive Theory
    8. Social Modeling

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