research-article

FitAware: Mediating Group Fitness Strategies with Smartwatch Glanceable Feedback

Authors:

D. Scott McCrickard,

Samantha Harden,

Michael HorningAuthors Info & Claims

PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 98 - 107

https://doi.org/10.1145/3240925.3240926

Published: 21 May 2018 Publication History

Abstract

Smartwatch fitness trackers seek to encourage healthy behavior through rich glanceable feedback that is easily accessible. This research examines how smartwatches can be used in existing group-based physical activity community interventions to provide group and individual feedback as the means to channel competitive and cooperative strategies. Seeking to avoid relying on in-person or web-based interventions that are known to have high drop-out rates, this paper presents a smartwatch-centered system that tracks steps and provides glanceable group dynamics-based feedback about personal and group performance. An 8-week deployment program with 27 participants shows successes and challenges with smartwatch-centered interventions. Most notably, the smartwatch was integral for groups with high levels of group cohesion to successfully mediate friendly competition, cooperation, and support, leading to better adherence to individually set physical activity goals and higher engagement levels with the smartwatch and the program.

References

[1]

Aino Ahtinen, Pertti Huuskonen, and Jonna Häkkilä. 2010. Let's all get up and walk to the North Pole: design and evaluation of a mobile wellness application. In Proceedings of the 6th Nordic conference on humancomputer interaction: Extending boundaries, 3--12. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=1868920

Digital Library

[2]

Ian Anderson, Julie Maitland, Scott Sherwood, Louise Barkhuus, Matthew Chalmers, Malcolm Hall, Barry Brown, and Henk Muller. 2007. Shakra: tracking and sharing daily activity levels with unaugmented mobile phones. Mobile Networks and Applications 12, 2--3: 185--199.

Digital Library

[3]

Daniel Lee Ashbrook. 2010. Enabling mobile microinteractions. Georgia Institute of Technology. Retrieved May 7, 2017 from https://smartech.gatech.edu/handle/1853/33986

[4]

Joseph B. Bayer, Scott W. Campbell, and Rich Ling. 2015. Connection Cues: Activating the Norms and Habits of Social Connectedness. Communication Theory. Retrieved January 6, 2017 from http://onlinelibrary.wiley.com/doi/10.1111/comt.12090/pdf

[5]

Frank Bentley and Konrad Tollmar. 2013. The power of mobile notifications to increase wellbeing logging behavior. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1095--1098. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=2466140

Digital Library

[6]

Lawrence R. Brawley, W. Jack Rejeski, and Lesley Lutes. 2000. A Group-Mediated Cognitive-Behavioral intervention for Increasing Adherence to Physical Activity in Older Adults1. Journal of Applied Biobehavioral Research 5, 1: 47--65.

[7]

Albert V. Carron and Lawrence R. Brawley. 2000. Cohesion conceptual and measurement issues. Small Group Research 31, 1: 89--106.

[8]

Albert V. Carron and Kevin S. Spink. 1993. Team building in an exercise setting. Sport Psychologist 7, 1. Retrieved January 6, 2017 from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=08884781&AN=20735419&h=R6x1x8ocUsYPW016x7C40%2FEiTd8skrgbuS52QihsyXm6mYwxjz8k0Gh0JFgSvBxd69%2BX5iFoi%2BKT0cdHYXGs9w%3D%3D&crl=c

[9]

Yu Chen and Pearl Pu. 2014. HealthyTogether: exploring social incentives for mobile fitness applications. In Proceedings of the Second International Symposium of Chinese CHI, 25--34. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=2592240

Digital Library

[10]

Sunny Consolvo, Katherine Everitt, Ian Smith, and James A. Landay. 2006. Design requirements for technologies that encourage physical activity. In Proceedings of the SIGCHI conference on Human Factors in computing systems, 457--466. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=1124840

Digital Library

[11]

Bernard Desarnauts. 2015. Seconds at a time. Retrieved November 3, 2016 from https://medium.com/wristly-thoughts/seconds-at-a-time-e8762b223476#.5s634umn7

[12]

Diane K. Ehlers, Jennifer L. Huberty, and Gert-Jan de Vreede. 2015. Can an evidence-based book club intervention delivered via a tablet computer improve physical activity in middle-aged women? Telemedicine and e-Health 21, 2: 125--131.

[13]

Andrey Esakia, Samantha M. Harden, D. Scott McCrickard, and Michael Horning. 2017. FitAware: Channeling Group Dynamics Strategies with Smartwatches in a Physical Activity Intervention. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2551--2559. Retrieved May 7, 2017 from http://dl.acm.org/citation.cfm?id=3053249

Digital Library

[14]

Andrey Esakia, D. Scott McCrickard, Samantha Harden, and Michael Horning. 2018. FitAware: Promoting Group Fitness Awareness Through Glanceable Smartwatches. In Proceedings of the 2018 ACM Conference on Supporting Groupwork, 178--183.

Digital Library

[15]

Andrey Esakia, Shuo Niu, and D. Scott McCrickard. 2015. Augmenting Undergraduate Computer Science Education With Programmable Smartwatches. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 66--71. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=2677285

Digital Library

[16]

Paul A. Estabrooks, Michael Bradshaw, David A. Dzewaltowski, and Renae L. Smith-Ray. 2008. Determining the impact of Walk Kansas: applying a team-building approach to community physical activity promotion. Annals of Behavioral medicine 36, 1: 1--12.

[17]

Paul A. Estabrooks and Albert V. Carron. 2000. The Physical Activity Group Environment Questionnaire: An instrument for the assessment of cohesion in exercise classes. Group Dynamics: Theory, Research, and Practice 4, 3: 230.

[18]

Paul A. Estabrooks, Samantha M. Harden, and Shauna M. Burke. 2012. Group dynamics in physical activity promotion: what works? Social and Personality Psychology Compass 6, 1: 18--40.

[19]

Gunther Eysenbach. 2005. The law of attrition. Journal of medical Internet research 7, 1: e11.

[20]

Craig H. Ganoe, Harold R. Robinson, Michael A. Horning, Xiaoyan Xie, and John M. Carroll. 2010. Mobile awareness and participation in community-oriented activities. In Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 10. Retrieved January 11, 2017 from http://dl.acm.org/citation.cfm?id=1823868

Digital Library

[21]

Wayne CW Giang, Liberty Hoekstra-Atwood, and Birsen Donmez. 2014. Driver engagement in notifications a comparison of visual-manual interaction between smartwatches and smartphones. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2161--2165. Retrieved January 6, 2017 from http://pro.sagepub.com/content/58/1/2161.short

[22]

Rúben Gouveia, Fábio Pereira, Evangelos Karapanos, Sean A. Munson, and Marc Hassenzahl. 2016. Exploring the design space of glanceable feedback for physical activity trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 144--155. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=2971754

Digital Library

[23]

Xinning Gui, Yu Chen, Clara Caldeira, Dan Xiao, and Yunan Chen. 2017. When Fitness Meets Social Networks: Investigating Fitness Tracking and Social Practices on WeRun. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 1647--1659. Retrieved from http://dl.acm.org/citation.cfm?id=3025654

Digital Library

[24]

Samantha M. Harden, Sallie Beth Johnson, Fabio A. Almeida, and Paul A. Estabrooks. Improving physical activity program adoption using integrated research-practice partnerships: an effectiveness-implementation trial. Translational Behavioral Medicine: 1--11.

[25]

Michael A. Horning, Harold R. Robinson, and John M. Carroll. 2014. A scenario-based approach for projecting user requirements for wireless proximal community networks. Computers in Human Behavior 35: 413--422.

[26]

Brandon Irwin, Daniel Kurz, Patrice Chalin, and Nicholas Thompson. 2016. Testing the Efficacy of OurSpace, a Brief, Group Dynamics-Based Physical Activity Intervention: A Randomized Controlled Trial. Journal of medical Internet research 18, 4. Retrieved January 10, 2017 from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4875491/

[27]

Emily B. Kahn, Leigh T. Ramsey, Ross C. Brownson, Gregory W. Heath, Elizabeth H. Howze, Kenneth E. Powell, Elaine J. Stone, Mummy W. Rajab, and Phaedra Corso. 2002. The effectiveness of interventions to increase physical activity: A systematic review. American journal of preventive medicine 22, 4: 73--107.

[28]

Elizabeth J. Lyons, Zakkoyya H. Lewis, Brian G. Mayrsohn, and Jennifer L. Rowland. 2014. Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. Journal of medical Internet research 16, 8. Retrieved September 19, 2017 from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147713/

[29]

Emily L. Mailey, Jennifer Huberty, and Brandon C. Irwin. 2016. Feasibility and Effectiveness of a Web-Based Physical Activity Intervention for Working Mothers. Journal of physical activity & health. Retrieved January 10, 2017 from http://europepmc.org/abstract/med/26999823

[30]

D. Scott McCrickard, Christa M. Chewar, Jacob P. Somervell, and Ali Ndiwalana. 2003. A model for notification systems evaluation---assessing user goals for multitasking activity. ACM Transactions on Computer-Human Interaction (TOCHI) 10, 4: 312--338.

Digital Library

[31]

Stefania Pizza, Barry Brown, Donald McMillan, and Airi Lampinen. 2016. Smartwatch in Vivo. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), 5456--5469.

Digital Library

[32]

Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale assessment of mobile notifications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 3055--3064. Retrieved January 6, 2017 from http://dl.acm.org/citation.cfm?id=2557189

Digital Library

[33]

James F. Sallis, Robin M. Grossman, Robin B. Pinski, Thomas L. Patterson, and Philip R. Nader. 1987. The development of scales to measure social support for diet and exercise behaviors. Preventive medicine 16, 6: 825--836.

[34]

2015. Products - NHIS Early Release - 2015. Retrieved October 17, 2016 from http://www.cdc.gov/nchs/nhis/released201509.htm

[35]

2017. Wearables 2017: The Wrist-Worn Revolution. Retrieved August 8, 2017 from https://www.emarketer.com/Report/Wearables-2017-Wrist-Worn-Revolution-Fails-Materialize/2001929

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Eska BPhilip MWozniak PSchmidt AKarolus J(2023)[Don't] Let The Bodies HIIT The Floor: Fostering Body Awareness in Fast-Paced Physical Activity Using Body-Worn SensorsProceedings of the ACM on Human-Computer Interaction10.1145/36042507:MHCI(1-27)Online publication date: 13-Sep-2023
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Yfantidou SSermpezis PVakali A(2023)14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF FrameworkACM Transactions on Computing for Healthcare10.1145/35926214:3(1-43)Online publication date: 8-Sep-2023
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Index Terms

FitAware: Mediating Group Fitness Strategies with Smartwatch Glanceable Feedback
1. Human-centered computing

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PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2018

413 pages

ISBN:9781450364508

DOI:10.1145/3240925

General Chairs:
Noga Minsky
Mount Sinai Health System
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Venet Osmani
Fondazione Bruno Kessler

Copyright © 2018 ACM.

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Published: 21 May 2018

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PervasiveHealth '18

PervasiveHealth '18: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 21 - 24, 2018

NY, New York, USA

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Cited By

Nguyen V(2024)myAQM: Interfacing Portable Air Quality Monitor with the Apple Watch - An In-the-Wild Usability StudyPervasive Computing Technologies for Healthcare10.1007/978-3-031-59717-6_23(339-363)Online publication date: 4-Jun-2024
https://doi.org/10.1007/978-3-031-59717-6_23
Eska BPhilip MWozniak PSchmidt AKarolus J(2023)[Don't] Let The Bodies HIIT The Floor: Fostering Body Awareness in Fast-Paced Physical Activity Using Body-Worn SensorsProceedings of the ACM on Human-Computer Interaction10.1145/36042507:MHCI(1-27)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604250
Yfantidou SSermpezis PVakali A(2023)14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF FrameworkACM Transactions on Computing for Healthcare10.1145/35926214:3(1-43)Online publication date: 8-Sep-2023
https://dl.acm.org/doi/10.1145/3592621
Ulmer TBaldauf M(2022)Keep Moving! A Systematic Review of App-Based Behavior Change Techniques and Visualizations for Promoting Everyday Physical ActivityHuman-Computer Interaction. User Experience and Behavior10.1007/978-3-031-05412-9_31(447-461)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-05412-9_31
Schiewe AKrekhov AKerber FDaiber FKrüger J(2020)A Study on Real-Time Visualizations During Sports Activities on SmartwatchesProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428409(18-31)Online publication date: 22-Nov-2020
https://dl.acm.org/doi/10.1145/3428361.3428409

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