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Family Health Promotion in Low-SES Neighborhoods: A Two-Month Study of Wearable Activity Tracking

Authors:

Herman Saksono,

Carmen Castaneda-Sceppa,

Jessica Hoffman,

Magy Seif El-Nasr,

Andrea G. ParkerAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 309, Pages 1 - 13

https://doi.org/10.1145/3173574.3173883

Published: 21 April 2018 Publication History

Abstract

Low-socioeconomic status (SES) families face increased barriers to physical activity (PA)-a behavior critical for reducing and preventing chronic disease. Research has explored how wearable PA trackers can encourage increased activity, and how the adoption of such trackers is driven by people's emotions and social needs. However, more work is needed to understand how PA trackers are perceived and adopted by low-SES families, where PA may be deprioritized due to economic stresses, limited resources, and perceived crime. Accordingly, we conducted a two-month, in-depth qualitative study, exploring low-SES caregivers' perspectives on PA tracking and promotion. Our findings show how PA tracking was impacted by caregivers' attitudes toward safety, which were influenced by how they perceived social connections within their neighborhoods; and cognitive-emotional processes. We conclude that PA tracking tools for low-SES families should help caregivers and children to experience and celebrate progress.

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Index Terms

Family Health Promotion in Low-SES Neighborhoods: A Two-Month Study of Wearable Activity Tracking
1. Human-centered computing

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cover image ACM Conferences

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 ACM.

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Published: 21 April 2018

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CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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https://dl.acm.org/doi/10.1145/3674504
Salehzadeh Niksirat KVelykoivanenko LZufferey NCherubini MHuguenin KHumbert M(2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
https://dl.acm.org/doi/10.1145/3645091
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Kouaho WEpstein D(2024)Socioeconomic Class in Physical Activity Wearables Research and DesignProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642789(1-15)Online publication date: 11-May-2024
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Silva LCibrian FMonteiro EBhattacharya ABeltran JBonang CEpstein DSchuck SLakes KHayes G(2023)Unpacking the Lived Experiences of Smartwatch Mediated Self and Co-Regulation with ADHD ChildrenProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581316(1-19)Online publication date: 19-Apr-2023
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