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Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs

Authors:

Chia-Fang Chung,

Irina A. Shklovski,

Sean MunsonAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 4875 - 4886

https://doi.org/10.1145/3025453.3025510

Published: 02 May 2017 Publication History

Abstract

Workplace health and wellness programs are increasingly integrating personal health tracking technologies, such as Fitbit and Apple Watch. Many question whether these technologies truly support employees in their pursuit of better wellness levels, raising objections about workplace surveillance and further blurring of boundaries between work and personal life. We conducted a study to understand how tracking tools are adopted in wellness programs and employees' opinions about these programs. We find that employees are generally positive about incentivized health tracking in the workplace, as it helps raise awareness of activity levels. However, there is a gap between the intentions of the programs and individual experiences and health goals. This sometimes results in confusion and creates barriers to participation. Even if this gap can be addressed, health tracking in the workplace will not be for everyone; this has implications for the design of both workplace wellness programs and tracking technologies.

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Index Terms

Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs
1. Human-centered computing

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cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 ACM.

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Published: 02 May 2017

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May 6 - 11, 2017

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CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;

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/10.1145/3699740
Das Swain VSaha K(2024)Teacher, Trainer, Counsel, Spy: How Generative AI can Bridge or Widen the Gaps in Worker-Centric Digital Phenotyping of WellbeingProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663401(1-13)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663401
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
Kolovson SSo SMunson S(2024)Using Speculative Design to Understand Preferred Futures for the Design and Use of Tracking Data in U.S. College Sport TeamsProceedings of the ACM on Human-Computer Interaction10.1145/36410288:CSCW1(1-35)Online publication date: 26-Apr-2024
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Chandhiramowuli STaylor AHeitlinger SWang D(2024)Making Data Work CountProceedings of the ACM on Human-Computer Interaction10.1145/36373678:CSCW1(1-26)Online publication date: 26-Apr-2024
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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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Hernandez RSong QKou YGui X(2024)"At the end of the day, I am accountable": Gig Workers' Self-Tracking for Multi-Dimensional Accountability ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642151(1-20)Online publication date: 11-May-2024
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Gómez-Carmona OCasado-Mansilla DLópez-de-Ipiña DGarcía-Zubia J(2024)Employee Perceptions of Privacy and Data Control in Workplace Wellness e- Health Programs2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00323(2020-2025)Online publication date: 2-Jul-2024
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Hall KHelmus BEymann T(2024)How to Balance Privacy and (Health) Benefits: Privacy Calculus and the Intention to Use Health Tracking at the WorkplaceInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2375704(1-18)Online publication date: 18-Jul-2024
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Gómez-Carmona OCasado-Mansilla DLópez-de-Ipiña DGarcía-Zubia J(2024)Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approachesInternet of Things10.1016/j.iot.2023.10104825(101048)Online publication date: Apr-2024
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