Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2971648.2971656acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
research-article
Public Access

Reconsidering the device in the drawer: lapses as a design opportunity in personal informatics

Published: 12 September 2016 Publication History

Abstract

People stop using personal tracking tools over time, referred to as the lapsing stage of their tool use. We explore how designs can support people when they lapse in tracking, considering how to design data representations for a person who lapses in Fitbit use. Through a survey of 141 people who had lapsed in using Fitbit, we identified three use patterns and four perspectives on tracking. Participants then viewed seven visual representations of their Fitbit data and seven approaches to framing this data. Participant Fitbit use and perspective on tracking influenced their preference, which we surface in a series of contrasts. Specifically, our findings guide selecting appropriate aggregations from Fitbit use (e.g., aggregate more when someone has less data), choosing an appropriate framing technique from tracking perspective (e.g., ensure framing aligns with how the person feels about tracking), and creating appropriate social comparisons (e.g., portray the person positively compared to peers). We conclude by discussing how these contrasts suggest new designs and opportunities in other tracking domains.

References

[1]
Adrienne Andrew, Gaetano Borriello, and James Fogarty. (2007). Toward a Systematic Understanding of Suggestion Tactics in Persuasive Technologies. Proceedings of the International Conference on Persuasive Technology (Persuasive 2007), 259--270. http://doi.org/fj7r83
[2]
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 Transactions on Computer-Human Interaction, 20(5), 1--27. http://doi.org/f23f6c
[3]
Frank Bentley and Konrad Tollmar. (2013). The Power of Mobile Notifications to Increase Wellbeing Logging Behavior. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013), 1095--1098. http://doi.org/f2zs59
[4]
Michael Bostock and Jeffrey Heer. (2009). Protovis: A Graphical Toolkit for Visualization. IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6), 1121--1128. http://doi.org/b6wxzm
[5]
Eun Kyoung Choe, Bongshin Lee, Sean A. Munson, Wanda Pratt, and Julie A. Kientz. (2013). Persuasive Performance Feedback: The Effect of Framing on Self-Efficacy. Proceedings of the American Medical Informatics Association Annual Symposium (AMIA 2013), 825--833. http://www.ncbi.nlm.nih.gov/ /24551378
[6]
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. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2014), 1143--1152. http://doi.org/bbpd
[7]
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. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 647--658. http://doi.org/bdsp
[8]
Sunny Consolvo, Predrag Klasnja, David W. McDonald, Daniel Avrahami, Jon Froehlich, Louis LeGrand, Ryan Libby, Keith Mosher, and James A. Landay. (2008). Flowers or a Robot Army? Encouraging Awareness & Activity with Personal, Mobile Displays. Proceedings of the International Conference on Ubiquitous Computing (UbiComp 2008), 54--63. http://doi.org/dk9hqb
[9]
Felicia Cordeiro, Daniel A. Epstein, Edison Thomaz, Elizabeth Bales, Arvind K. Jagannathan, Gregory D. Abowd, and James Fogarty. (2015). Barriers and Negative Nudges: Exploring Challenges in Food Journaling. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2015), 1159--1162. http://doi.org/bbdt
[10]
Daniel A. Epstein, Alan Borning, and James Fogarty. (2013). Fine-Grained Sharing of Sensed Physical Activity: A Value Sensitive Approach. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), 489--498. http://doi.org/bdsq
[11]
Daniel A. Epstein, Monica Caraway, Chuck Johnston, An Ping, James Fogarty, and Sean A. Munson. (2016). Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2016), 1109--1103. http://doi.org/bjjd
[12]
Daniel A. Epstein, Felicia Cordeiro, Elizabeth Bales, James Fogarty, and Sean A. Munson. (2014). Taming Data Complexity in Lifelogs: Exploring Visual Cuts of Personal Informatics Data. Proceedings of the ACM Conference on Designing Interactive Systems (DIS 2014), 667--676. http://doi.org/bbng
[13]
Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. (2015). A Lived Informatics Model of Personal Informatics. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 731--742. http://doi.org/bdsr
[14]
Chloe Fan, Jodi Forlizzi, and Anind Dey. (2012). A Spark Of Activity: Exploring Informative Art As Visualization For Physical Activity. Proceedings of the ACM Conference on Ubiquitous Computing (UbiComp 2012), 81--84. http://doi.org/bdss
[15]
FitBit. http://www.fitbit.com/
[16]
B. J. Fogg. (2002). Persuasive Technology: Using Computers to Change What we Think and Do. Ubiquity (5), 89--120. http://doi.org/d8xcc5
[17]
Susannah Fox and Maeve Duggan. (2013). Tracking for Health. Pew Internet, 1--32. http://www.pewinternet.org/Reports/2013/Tracking-for-Health.aspx
[18]
Brendan J. Frey and Delbert Dueck. (2007). Clustering by Passing Messages Between Data Points. Science, 315(5814), 972--976. http://doi.org/fcq25h
[19]
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. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2014), 487--496. http://doi.org/bbdv
[20]
Jon Froehlich, Leah Findlater, and James Landay. (2010). The Design of Eco-Feedback Technology. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), 1999--2008. http://doi.org/cbsjjr
[21]
Rúben Gouveia, Evangelos Karapanos, and Marc Hassenzahl. (2015). How Do We Engage With Activity Trackers? A Longitudinal Study of Habito. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 1305--1316. http://doi.org/bdst
[22]
Daniel Harrison, Paul Marshall, Nadia Bianchi-Berthouze, and John Bird. (2015). Activity Tracking: Barriers, Workarounds and Customisation. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 617--621. http://doi.org/bdsv
[23]
Geert H. Hofstede. (1997). Cultures and Organizations: Software of the Mind. McGraw-Hill, New York.
[24]
Dandan Huang, Melanie Tory, Bon Adriel Aseniero, Lyn Bartram, Scott Bateman, Sheelagh Carpendale, Anthony Tang, and Robert Woodbury. (2015). Personal Visualization and Personal Visual Analytics. IEEE Transactions on Visualization and Computer Graphics (TVCG), 21(3), 420--433. http://doi.org/bdsw
[25]
International Data Corporation. (2016). The Worldwide Wearables Market Leaps 126.9% in the Fourth Quarter and 171.6% in 2015, According to IDC. http://www.idc.com/getdoc.jsp?containerId=prUS41037416
[26]
Predrag Klasnja, Sunny Consolvo, and Wanda Pratt. (2011). How to Evaluate Technologies for Health Behavior Change in HCI Research. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2011), 3063--3072. http://doi.org/dzgdm6
[27]
Amanda Lazar, Joshua Tanenbaum, Christian Koehler, and David H. Nguyen. (2015). Why We Use and Abandon Smart Devices. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 635--646. http://doi.org/bdsx
[28]
Min Kyung Lee, Junsung Kim, Jodi Forlizzi, and Sara Kiesler. (2015). Personalization Revisited: A Reflective Approach Helps People Better Personalize Health Services and Motivates Them To Increase Physical Activity. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), 743--754. http://doi.org/bkrs
[29]
Ian Li, Anind Dey, and Jodi Forlizzi. (2010). A Stage-Based Model of Personal Informatics Systems. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), 557--566. http://doi.org/bh8zsb
[30]
James J. Lin, Lena Mamykina, Silvia Lindtner, Gregory Delajoux, and Henry B. Strub. (2006). Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. Proceedings of the International Conference on Ubiquitous Computing (UbiComp 2006), 261--278. http://doi.org/crcvd9
[31]
Susan Michie, Charles Abraham, Craig Whittington, John McAteer, and Sunjai Gupta. (2009). Effective Techniques in Healthy Eating and Physical Activity Interventions: A Meta-Regression. Health Psychology, 28(6), 690--701. http://doi.org/bj595b
[32]
Susan Michie, Stefanie Ashford, Falko F. Sniehotta, Stephan U. Dombrowski, Alex Bishop, and David P. French. (2011). A Refined Taxonomy of Behaviour Change Techniques to Help People Change Their Physical Activity and Healthy Eating Behaviours: the CALO-RE taxonomy. Psychology & health, 26(11), 1479-98. http://doi.org/fdg8jr
[33]
John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers. (2014). Personal Tracking as Lived Informatics. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2014), 1163--1172. http://doi.org/bbdz
[34]
Donald A. Schön. (1983). The Reflective Practitioner. Basic Books. http://doi.org/fv2g6n
[35]
Patrick C. Shih, Kyungsik Han, Erika Shehan Poole, Mary Beth Rosson, and John M. Carroll. (2015). Use and Adoption Challenges of Wearable Activity Trackers. iConference 2015 Proceedings, 1--12. http://hdl.handle.net/2142/73649
[36]
Tableau. http://www.tableau.com/
[37]
Tammy Toscos, Anne Faber, Kay Connelly, and Adity Mutsuddi Upoma. (2008). Encouraging Physical Activity in Teens: Can Technology Help Reduce Barriers to Physical Activity in Adolescent Girls? Proceedings of the International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2008), 218--221. http://doi.org/cvmffx
[38]
Kanit Wongsuphasawat, Dominik Moritz, Anushka Anand, Jock Mackinlay, Bill Howe, and Jeffrey Heer. (2015). Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations. IEEE Transactions on Visualization and Computer Graphics (TVCG), 22(1), 649--658. http://doi.org/bdsz

Cited By

View all
  • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
  • (2024)Designing Data Visualisations for Self-Compassion in Personal InformaticsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314487:4(1-22)Online publication date: 12-Jan-2024
  • (2024)Designing a Data-Driven Survey System: Leveraging Participants' Online Data to Personalize SurveysProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642572(1-22)Online publication date: 11-May-2024
  • Show More Cited By

Index Terms

  1. Reconsidering the device in the drawer: lapses as a design opportunity in personal informatics

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
    September 2016
    1288 pages
    ISBN:9781450344616
    DOI:10.1145/2971648
    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: 12 September 2016

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. abandonment
    2. lapsing
    3. personal informatics
    4. re-engagement

    Qualifiers

    • Research-article

    Funding Sources

    Conference

    UbiComp '16

    Acceptance Rates

    UbiComp '16 Paper Acceptance Rate 101 of 389 submissions, 26%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Upcoming Conference

    UbiComp '24

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)190
    • Downloads (Last 6 weeks)32
    Reflects downloads up to 21 Sep 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Wearable Activity Trackers: A Survey on Utility, Privacy, and SecurityACM Computing Surveys10.1145/364509156:7(1-40)Online publication date: 8-Feb-2024
    • (2024)Designing Data Visualisations for Self-Compassion in Personal InformaticsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314487:4(1-22)Online publication date: 12-Jan-2024
    • (2024)Designing a Data-Driven Survey System: Leveraging Participants' Online Data to Personalize SurveysProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642572(1-22)Online publication date: 11-May-2024
    • (2024)Investigating the Tracking Anxiety and Dependence of Smartwatch Users Based on Physiological and Fitness DataInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2405785(1-14)Online publication date: 25-Sep-2024
    • (2023)High School Teachers’ Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative StudyJMIR Formative Research10.2196/504607(e50460)Online publication date: 15-Nov-2023
    • (2023)An Integrative Engagement Model of Digital Psychotherapy: Exploratory Focus Group FindingsJMIR Formative Research10.2196/414287(e41428)Online publication date: 26-Apr-2023
    • (2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
    • (2023)“I left my legacy, told my story”: Understanding Older Adults’ Tracking Practices to Promote Active AgingProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596083(459-475)Online publication date: 10-Jul-2023
    • (2023)Enhancing Youth Self-Regulation Through Wearable Apps: Increasing Usage Through Participatory Design in Low Income YouthACM Transactions on Computer-Human Interaction10.1145/349016929:5(1-34)Online publication date: 6-Jan-2023
    • (2023)Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence HesitancyTelemedicine and e-Health10.1089/tmj.2023.0313Online publication date: 27-Sep-2023
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Get Access

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media