Exploring physical activities in an employer-sponsored health program

Dhaval Vyas; Zachary Fitz-Walter; Erica Mealy; Alessandro Soro; Jinglan Zhang; Margot Brereton

doi:10.1145/2702613.2732815

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Abstract

Exploring physical activities in an employer-sponsored health program

Dhaval Vyas, Zachary Fitz-Walter, Erica Mealy, Alessandro Soro, Jinglan Zhang and Margot Brereton

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15, pp.1421-1426

Annual ACM Conference on Human Factors in Computing Systems, 33rd (Seoul, Republic of Korea, 18-Apr-2015–23-Apr-2015)

2015

DOI: https://doi.org/10.1145/2702613.2732815

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Abstract

Information Systems

activity monitoring

HCI

quantified self

This work brings a perspective from an employer-sponsored health and wellness program called Global Corporate Challenge (GCC) to the 'quantified self' research. We present preliminary findings from a study with 17 university employees who participated in the GCC. We aimed to explore how participants derived meaningfulness from their self-tracking experiences. Our findings echo the growing body of work that advocates for conceptualizing activity tracking beyond the rationalistic, data-oriented perspectives and supporting more social and lived experiences.

Details

Title: Exploring physical activities in an employer-sponsored health program
Authors: Dhaval Vyas (Author) - Queensland University of Technology
Zachary Fitz-Walter (Author) - Queensland University of Technology
Erica Mealy (Author) - Queensland University of Technology
Alessandro Soro (Author) - Queensland University of Technology
Jinglan Zhang (Author) - Queensland University of Technology
Margot Brereton (Author) - Queensland University of Technology
Publication details: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15, pp.1421-1426
Conference details: Annual ACM Conference on Human Factors in Computing Systems, 33rd (Seoul, Republic of Korea, 18-Apr-2015–23-Apr-2015)
Publisher: Association for Computer Machinery
Date published: 2015
DOI: 10.1145/2702613.2732815
ISBN: 9781450331463
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99451389002621
Output Type: Abstract

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