[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3132479.3132486acmconferencesArticle/Chapter ViewAbstractPublication PagessecConference Proceedingsconference-collections
research-article

Mining and analysis of public information for insight into personal fitness tracker reliability, operations and user performance

Published: 14 October 2017 Publication History

Abstract

Personal fitness trackers are popular wearable devices intended for measurement and analysis of user personal activities, and engagement with social media. Manufacturers have not opened tracker technical designs or performance data to public scrutiny. By leveraging user-posted activity records, product reviews, fitness app screenshots, and social network postings, we were able to characterize user motivations, reliability concerns, and social behaviors, as well as quantifying fitness activity performance levels. We describe user behaviors categorized by gender, age, duration of device ownership, and degree of social network engagement. Lastly, we show that most users exercise less than the well-publicized 10,000 steps per day goal.

References

[1]
Rayoung Yang, Eunice Shin, Mark W. Newman and Mark S. Ackerman. 2015. When Fitness Trackers Don't 'Fit': End-User Difficulties in the Assessment of Personal Tracking Device Accuracy. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM Press, New York, NY, 623--634.
[2]
James Clawson, Jessica A. Pater, Andrew D. Miller, Elizabeth D. Mynatt and Lena Mamykina. 2015. No Longer Wearing: Investigating the Abandonment of Personal Health-Tracking Technologies on Craigslist. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM Press, New York, NY, 647--658.
[3]
J.C. Herz, 2014. Wearables Are Totally Failing the People Who Need Them Most. Wired. November 6, 2014. Retrieved from www.wired.com/2014/11/where-fitness-trackers-fail/.
[4]
Grace Shin, Eun Jeong Cheon and Mohammad Hossein Jarrahi. 2015. Understanding Quantified-Selfers' Interplay between Intrinsic and Extrinsic Motivation in the Use of Activity-Tracking Devices, iConference 2015 Proceedings, 2015-03-15. http://hdl.handle.net/2142/73740
[5]
Katrin Hansel, Natalie Wilde, Hamed Haddadi and Akram Alomainy. 2015. Challenges with Current Wearable Technology in Monitoring Health Data and Providing Positive Behavioural Support. In Proceedings of the 5th EAI International Conference on Wireless Mobile Communications and Healthcare (MobiHealth '15). ICST Brussels, Belgium, 158--161.
[6]
Amanda Lazar, Christian Koehler, Joshua Tanenbaum and David H. Nquyen. 2015. Why We Use and Abandon Smart Devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM Press, New York, NY, 635--646.
[7]
Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt and Julie A. Kientz. 2014. Understanding Quantified-Selfers' Practices in Collecting and Exploring Personal Data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM Press, New York, NY, 1143--1152.
[8]
Niels van Berkel, Chu Luo, Denzil Ferreira, Jorge Goncalves and Vassilis Kostakos. 2015. The curse of quantified-self: an endless quest for answers. In Adjunct Proceedings of the International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the ACM International Symposium on Wearable Computers (UbiComp/ISWC '15). ACM Press, New York, NY, 973--978.
[9]
Wikipedia. 2017. Quantified Self. Retrieved from https://en.wikipedia.org/wiki/Quantified_Self.
[10]
Fitness Tracker Buying Guide. 2016. Retrieved from http://www.consumerreports.org/cro/fitness-trackers/buying-guide.htm.
[11]
Fitbit. 2010. The Magic of 10,00 Steps. Retrieved from https://blog.fitbit.com/the-magic-of-10000-steps/.
[12]
John Rooksby, Mattias Rost, Alistair Morrison and Matthew Chalmers. 2014. Personal Tracking as Lived Informatics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM Press, New York, NY, 1163--1172.
[13]
Frank Bentley, Konrad Tollmar, Peter Stephenson, Laura Levy, Brian Jones, Scott Robertson, Ed Price, Richard Catrambone and Jeff Wilson. 2013. Health Mashups: Presenting statistical patterns between wellbeing data and context in natural language to promote behavior change. ACM TOCHI 20, 5, Article 30 (November 2013), 27 pages.
[14]
Thomas Fritz, Elaine M. Huang, Gail C. Murphy and Thomas Zimmermann. 2014. Persuasive technology in the real world: A study of long-term use of activity sensing devices for fitness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM Press, New York, NY, 487--496.
[15]
Mark Newman, Debra Lauterbach, Sean A. Munson, Paul Resnick and Margaret E. Morris. 2011. It's not that I don't have problems, I'm just not putting them on Facebook": Challenges and Opportunities in Using Online Social Networks for Health. In Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work (CSCW '11). ACM Press, New York, NY, 341--350.
[16]
Moira Burke, Cameron Marlow and Thomas Lento. 2010. Social network activity and social well-being. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM Press, New York, NY, 1902--1912.
[17]
Yuheng Hu, Lydia Manikonda and Subbarao Kambhampati. 2014. What We Instagram: A First Analysis of Instagram Photo Content and User Types. In Proceedings of the 8th International Conference on Weblogs and Social Media (ICWSM '14). The AAAI Press, Palo Alto, CA, 595--598.
[18]
Lyndon Kennedy, Mor Naaman, Shane Ahern, Rahul Nair and Tye Rattenbury. 2007. How flickr helps us make sense of the world: context and content in community-contributed media collections. In Proceedings of the 15th ACM International Conference on Multimedia (MM '07). ACM Press, New York, NY, 631--640.
[19]
John Ugander, Brian Karrer, Lars Backstrom and Cameron Marlow. 2011. The Anatomy of the Facebook Social Graph, Cornell University Library. arXiv:1111.4503 [cs.SI].
[20]
Kota Tsubouchi, Ryoma Kawajiri and Masamichi Shimosaka. 2013. Working-Relationship Detection from Fitbit Sensor Data. In Adjunct Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '13). ACM Press, New York, NY, 115--118.
[21]
Ian Li, Anind K. Dey and Jodi Forlizzi. 2011. Understanding My Data, Myself: Supporting Self-Reflection with Ubicomp Technologies. In Proceedings of the 13th International Conference on Ubiquitous Computing (UbiComp '11). ACM Press, New York, NY, 405--414.
[22]
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 (CHI '06). ACM Press, New York, NY, 457--466.
[23]
Kunwoo Park, Ingmar Weber, Meeyoung Cha and Chul Lee. 2016. Persistent Sharing of Fitness App Status on Twitter. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM Press, New York, NY, 184--194.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SmartIoT '17: Proceedings of the Workshop on Smart Internet of Things
October 2017
74 pages
ISBN:9781450355285
DOI:10.1145/3132479
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. personal fitness trackers
  2. user behavior

Qualifiers

  • Research-article

Conference

SEC '17
Sponsor:
SEC '17: IEEE/ACM Symposium on Edge Computing
October 14, 2017
California, San Jose

Acceptance Rates

SmartIoT '17 Paper Acceptance Rate 12 of 18 submissions, 67%;
Overall Acceptance Rate 12 of 18 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 188
    Total Downloads
  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)1
Reflects downloads up to 14 Dec 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media