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

Authors:

Herman Saksono,

Carmen Castaneda-Sceppa,

Jessica A. Hoffman,

Magy Seif El-Nasr,

Andrea ParkerAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 203, Pages 1 - 14

https://doi.org/10.1145/3411764.3445087

Published: 07 May 2021 Publication History

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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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Kouaho WEpstein D(2024)Investigating Perspectives of and Experiences with Low Cost Commercial Fitness WearablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997408:4(1-22)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699740
Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Clark MDoryab A(2024)Changing Your Tune: Lessons for Using Music to Encourage Physical ActivityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596118:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659611
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Index Terms

StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activity Among Families of Low-SES Backgrounds
1. Human-centered computing

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
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Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
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Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

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Cited By

Kouaho WEpstein D(2024)Investigating Perspectives of and Experiences with Low Cost Commercial Fitness WearablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997408:4(1-22)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699740
Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Clark MDoryab A(2024)Changing Your Tune: Lessons for Using Music to Encourage Physical ActivityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596118:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659611
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