ITU
ITU

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

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Standard

Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. / Chung, Chia-Fang; Jensen, Nanna Gorm; Shklovski, Irina; Munson, Sean.

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems: CHI '17. Association for Computing Machinery, 2017. p. 4875-4886 (ACM Annual Conference on Human Factors in Computing Systems (CHI)).

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Harvard

Chung, C-F, Jensen, NG, Shklovski, I & Munson, S 2017, Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems: CHI '17. Association for Computing Machinery, ACM Annual Conference on Human Factors in Computing Systems (CHI), pp. 4875-4886. https://doi.org/10.1145/3025453.3025510

APA

Chung, C-F., Jensen, N. G., Shklovski, I., & Munson, S. (2017). Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems: CHI '17 (pp. 4875-4886). Association for Computing Machinery. ACM Annual Conference on Human Factors in Computing Systems (CHI) https://doi.org/10.1145/3025453.3025510

Vancouver

Chung C-F, Jensen NG, Shklovski I, Munson S. Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems: CHI '17. Association for Computing Machinery. 2017. p. 4875-4886. (ACM Annual Conference on Human Factors in Computing Systems (CHI)). https://doi.org/10.1145/3025453.3025510

Author

Chung, Chia-Fang ; Jensen, Nanna Gorm ; Shklovski, Irina ; Munson, Sean. / Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems: CHI '17. Association for Computing Machinery, 2017. pp. 4875-4886 (ACM Annual Conference on Human Factors in Computing Systems (CHI)).

Bibtex

@inproceedings{41faffd083ea4695a523428727fd1e33,
title = "Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs",
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.",
keywords = "wearable computing, self tracking, health insurance",
author = "Chia-Fang Chung and Jensen, {Nanna Gorm} and Irina Shklovski and Sean Munson",
year = "2017",
doi = "10.1145/3025453.3025510",
language = "English",
isbn = "978-1-4503-4655-9",
pages = "4875--4886",
booktitle = "Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",
address = "United States",

}

RIS

TY - GEN

T1 - Finding the Right Fit: Understanding Health Tracking in Workplace Wellness Programs

AU - Chung, Chia-Fang

AU - Jensen, Nanna Gorm

AU - Shklovski, Irina

AU - Munson, Sean

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - wearable computing

KW - self tracking

KW - health insurance

U2 - 10.1145/3025453.3025510

DO - 10.1145/3025453.3025510

M3 - Article in proceedings

SN - 978-1-4503-4655-9

SP - 4875

EP - 4886

BT - Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

ER -

ID: 82382589