research-article

Exploring Fitness Tracker Visualisations to Avoid Rumination

Authors:

Kristina Knaving,

Paweł W. WoźniakAuthors Info & Claims

MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 6, Pages 1 - 11

https://doi.org/10.1145/3379503.3405662

Published: 05 October 2020 Publication History

Abstract

Fitness trackers encourage users to set goals to improve personal wellbeing, but these goals sometimes remain unmet. Understanding how improved ways of communicating failure to meet fitness goals could help prevent negative thought cycles (rumination) and avoid reduced motivation for physical activity. To address this challenge, we studied how unmet goals can be presented in apps. We designed prototypes that showed unmet fitness goals. Radial and regular bar charts, single-coloured and multicoloured were used in the study. In a survey (n = 165), we compared the four versions and a textual description of the unmet goals. Then, we conducted follow-up interviews (n = 20) to gain a detailed understanding of the perceptions and feelings evoked by the prototypes. We found that bar graphs offered a significantly better potential for reflection and multicoloured charts triggered significantly more rumination. We contribute in-depth insights into designing systems that use goals and avoid potential negative effects of personal tracking.

References

[1]

Henk Aarts, Ruud Custers, and Rob W Holland. 2007. The nonconscious cessation of goal pursuit: When goals and negative affect are coactivated.Journal of personality and social psychology 92, 2(2007), 165.

[2]

Elena Agapie, Daniel Avrahami, and Jennifer Marlow. 2016. Staying the Course: System-Driven Lapse Management for Supporting Behavior Change. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 1072–1083.

Digital Library

[3]

Herman Aguinis and Kyle J Bradley. 2014. Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods 17, 4 (2014), 351–371.

[4]

Obead Alhadreti and Pam Mayhew. 2018. Rethinking Thinking Aloud: A Comparison of Three Think-Aloud Protocols. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). ACM, New York, NY, USA, Article 44, 12 pages. https://doi.org/10.1145/3173574.3173618

Digital Library

[5]

World Medical Association 2013. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.Jama 310, 20 (2013), 2191.

[6]

Eric P.S. Baumer. 2015. Reflective Informatics: Conceptual Dimensions for Designing Technologies of Reflection. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). ACM, New York, NY, USA, 585–594. https://doi.org/10.1145/2702123.2702234

Digital Library

[7]

Eric PS Baumer, Vera Khovanskaya, Mark Matthews, Lindsay Reynolds, Victoria Schwanda Sosik, and Geri Gay. 2014. Reviewing reflection: on the use of reflection in interactive system design. In Proceedings of the 2014 conference on Designing interactive systems. ACM, 93–102.

Digital Library

[8]

Ann Blandford, Dominic Furniss, and Stephann Makri. 2016. Qualitative HCI research: Going behind the scenes. Vol. 9. Morgan & Claypool Publishers. 1–115 pages.

[9]

T. Blascheck, L. Besançon, A. Bezerianos, B. Lee, and P. Isenberg. 2019. Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches. IEEE Transactions on Visualization and Computer Graphics 25, 1 (Jan 2019), 630–640. https://doi.org/10.1109/TVCG.2018.2865142

Digital Library

[10]

Patricia C Broderick. 1998. Early adolescent gender differences in the use of ruminative and distracting coping strategies. The Journal of Early Adolescence 18, 2 (1998), 173–191.

[11]

Kirk Warren Brown and Richard M Ryan. 2003. The benefits of being present: mindfulness and its role in psychological well-being.Journal of personality and social psychology 84, 4(2003), 822.

[12]

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. ACM Press, 647–658. https://doi.org/10.1145/2750858.2807554

[13]

William S Cleveland and Robert McGill. 1984. Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American statistical association 79, 387(1984), 531–554.

[14]

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. In Proceedings of the 10th international conference on Ubiquitous computing. ACM, 54–63.

Digital Library

[15]

Sunny Consolvo, Predrag Klasnja, David W McDonald, and James A Landay. 2009. Goal-setting considerations for persuasive technologies that encourage physical activity. In Proceedings of the 4th international Conference on Persuasive Technology. ACM, 8.

Digital Library

[16]

Tim Coughlan, Michael Brown, Glyn Lawson, Richard Mortier, Robert J Houghton, and Murray Goulden. 2013. Tailored scenarios: a low-cost online method to elicit perceptions on designs using real relationships. In CHI’13 Extended Abstracts on Human Factors in Computing Systems. ACM, 343–348.

[17]

Frederick E. Croxton and Harold Stein. 1932. Graphic Comparisons by Bars, Squares, Circles, and Cubes. J. Amer. Statist. Assoc. 27, 177 (1932), 54–60. https://doi.org/10.1080/01621459.1932.10503227 arXiv:https://amstat.tandfonline.com/doi/pdf/10.1080/01621459.1932.10503227

[18]

Carol S Dweck. 2006. Mindset: The new psychology of success.” New York: RandomHouse. (2006).

[19]

Daniel Epstein, Felicia Cordeiro, Elizabeth Bales, James Fogarty, and Sean Munson. 2014. Taming data complexity in lifelogs: exploring visual cuts of personal informatics data. In Proceedings of the 2014 conference on Designing interactive systems. ACM, 667–676.

Digital Library

[20]

Daniel A Epstein, An Ping, James Fogarty, and Sean A Munson. 2015. A lived informatics model of personal informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 731–742.

Digital Library

[21]

Spencer C Evans, Michael C Roberts, Jared W Keeley, Jennifer B Blossom, Christina M Amaro, Andrea M Garcia, Cathleen Odar Stough, Kimberly S Canter, Rebeca Robles, and Geoffrey M Reed. 2015. Vignette methodologies for studying clinicians’ decision-making: validity, utility, and application in ICD-11 field studies. International journal of clinical and health psychology 15, 2(2015), 160–170.

[22]

Stephen Few. 2006. Information dashboard design. (2006).

[23]

Ayelet Fishbach, Tal Eyal, and Stacey R Finkelstein. 2010. How positive and negative feedback motivate goal pursuit. Social and Personality Psychology Compass 4, 8 (2010), 517–530.

[24]

Barbara L Fredrickson. 2001. The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions.American psychologist 56, 3 (2001), 218.

[25]

gfk. 2018. Global Studies – Fitness tracking. http://www.gfk.com/global-studies/global-studies-fitness-tracking/

[26]

Mitchell Gordon, Tim Althoff, and Jure Leskovec. 2019. Goal-setting and achievement in activity tracking apps: A case study Of MyFitnessPal. In The World Wide Web Conference. 571–582.

Digital Library

[27]

R Gouveia, E Karapanos, and M Hassenzahl. 2015. Activity trackers in the wild: Design strategies and their impact on engagement and physical activity in daily life. M-ITI Technical Report(2015).

[28]

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. ACM, 144–155.

Digital Library

[29]

James J Gross and Oliver P John. 2003. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being.Journal of personality and social psychology 85, 2(2003), 348.

[30]

Rebecca Gulotta, Jodi Forlizzi, Rayoung Yang, and Mark Wah Newman. 2016. Fostering Engagement with Personal Informatics Systems. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems (Brisbane, QLD, Australia) (DIS ’16). ACM, New York, NY, USA, 286–300. https://doi.org/10.1145/2901790.2901803

Digital Library

[31]

Jens Hainmueller, Dominik Hangartner, and Teppei Yamamoto. 2015. Validating vignette and conjoint survey experiments against real-world behavior. Proceedings of the National Academy of Sciences 112, 8 (2015), 2395–2400.

[32]

Jeffrey Heer and Michael Bostock. 2010. Crowdsourcing graphical perception: using mechanical turk to assess visualization design. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 203–212.

Digital Library

[33]

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 21, 3(2015), 420–433.

Digital Library

[34]

Dmitri S. Katz, Blaine A. Price, Simon Holland, and Nicholas Sheep Dalton. 2018. Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). ACM, New York, NY, USA, Article 503, 12 pages. https://doi.org/10.1145/3173574.3174077

Digital Library

[35]

Rohit Ashok Khot, Deepti Aggarwal, Ryan Pennings, Larissa Hjorth, and Florian’Floyd’ Mueller. 2017. Edipulse: investigating a playful approach to self-monitoring through 3D printed chocolate treats. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 6593–6607.

Digital Library

[36]

Rohit Ashok Khot, Larissa Hjorth, and Florian’Floyd’ Mueller. 2014. Understanding physical activity through 3D printed material artifacts. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 3835–3844.

Digital Library

[37]

Joyca Lacroix, Privender Saini, and Roger Holmes. 2008. The relationship between goal difficulty and performance in the context of a physical activity intervention program. In Proceedings of the 10th international conference on Human computer interaction with mobile devices and services. ACM, 415–418.

Digital Library

[38]

Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 557–566.

Digital Library

[39]

Edwin A Locke and Gary P Latham. 1985. The application of goal setting to sports. Journal of Sport and Exercise Psychology 7, 3 (1985), 205–222.

[40]

Winter Mason and Siddharth Suri. 2012. Conducting behavioral research on Amazon’s Mechanical Turk. Behavior research methods 44, 1 (2012), 1–23.

[41]

Alain Morin. 2017. Toward a glossary of self-related terms. Frontiers in psychology 8 (2017), 280.

[42]

Alistair Morrison and Viktor Bakayov. 2017. Stickers for steps: a study of an activity tracking system with face-to-face social engagement. Proceedings of the ACM on Human-Computer Interaction 1, CSCW(2017).

Digital Library

[43]

Jasmin Niess and Paweı W Wozniak. 2018. Supporting Meaningful Personal Fitness: the Tracker Goal Evolution Model. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 171.

Digital Library

[44]

Judith S Olson and Wendy A Kellogg. 2014. Ways of Knowing in HCI. Vol. 2. Springer.

[45]

Gabriele Paolacci, Jesse Chandler, and Panagiotis G Ipeirotis. 2010. Running experiments on amazon mechanical turk. (2010).

[46]

W. Playfair and James Corry. 1786. The Commercial and Political Atlas: Representing, by Means of Stained Copper-plates, the Exports, Imports, and General Trade of England; the National Debt, and Other Public Accounts; with Observations and Remarks. J. Debrett. https://books.google.se/books?id=aav9tAEACAAJ

[47]

John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 1163–1172.

Digital Library

[48]

Richard M Ryan and Edward L Deci. 2000. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.American psychologist 55, 1 (2000), 68.

[49]

Jeannette M Smith and Lauren B Alloy. 2009. A roadmap to rumination: A review of the definition, assessment, and conceptualization of this multifaceted construct. Clinical psychology review 29, 2 (2009), 116–128.

[50]

Heather Soo, Sue Burney, and Christopher Basten. 2009. The role of rumination in affective distress in people with a chronic physical illness: A review of the literature and theoretical formulation. Journal of Health Psychology 14, 7 (2009), 956–966.

[51]

Katta Spiel, Fares Kayali, Louise Horvath, Michael Penkler, Sabine Harrer, Miguel Sicart, and Jessica Hammer. 2018. Fitter, Happier, More Productive?: The Normative Ontology of Fitness Trackers. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems(Montreal QC, Canada) (CHI EA ’18). ACM, New York, NY, USA, Article alt08, 10 pages. https://doi.org/10.1145/3170427.3188401

Digital Library

[52]

Lie Ming Tang, Jochen Meyer, Daniel A. Epstein, Kevin Bragg, Lina Engelen, Adrian Bauman, and Judy Kay. 2018. Defining Adherence: Making Sense of Physical Activity Tracker Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 37 (March 2018), 22 pages. https://doi.org/10.1145/3191769

Digital Library

[53]

Dorthe Kirkegaard Thomsen, Jan Tønnesvang, Anette Schnieber, and Martin Hammershøj Olesen. 2011. Do people ruminate because they haven’t digested their goals? The relations of rumination and reflection to goal internalization and ambivalence. Motivation and Emotion 35, 2 (2011), 105–117.

[54]

Paul D Trapnell and Jennifer D Campbell. 1999. Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection.Journal of personality and social psychology 76, 2(1999), 284.

[55]

Catrine Tudor-Locke and David R Bassett. 2004. How many steps/day are enough?Sports medicine 34, 1 (2004), 1–8.

[56]

Shaun Wallace, Hua Guo, and David Sasson. 2017. Visualizing Self-Tracked Mobile Sensor and Self-Reflection Data to Help Sleep Clinicians Infer Patterns. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI EA ’17). ACM, New York, NY, USA, 2194–2200. https://doi.org/10.1145/3027063.3053138

Digital Library

[57]

Colin Ware. 2012. Information visualization: perception for design. Elsevier.

[58]

Edward R Watkins. 2008. Constructive and unconstructive repetitive thought.Psychological bulletin 134, 2 (2008), 163.

[59]

Paweł Woźniak, Kristina Knaving, Staffan Björk, and Morten Fjeld. 2015. RUFUS: Remote Supporter Feedback for Long-Distance Runners. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services(Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 115–124. https://doi.org/10.1145/2785830.2785893

Digital Library

Cited By

Patel ABaxter WPorat T(2024)Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic ReviewJournal of Medical Internet Research10.2196/5808826(e58088)Online publication date: 20-Nov-2024
https://doi.org/10.2196/58088
Loerakker MNiess JWoźniak P(2024)Technology which Makes You ThinkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596158:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659615
Loerakker MNiess JBentvelzen MWoźniak P(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
https://dl.acm.org/doi/10.1145/3631448
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Index Terms

Exploring Fitness Tracker Visualisations to Avoid Rumination
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services

October 2020

418 pages

ISBN:9781450375160

DOI:10.1145/3379503

Copyright © 2020 ACM.

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]

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Published: 05 October 2020

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MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services

October 5 - 8, 2020

Oldenburg, Germany

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Cited By

Patel ABaxter WPorat T(2024)Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic ReviewJournal of Medical Internet Research10.2196/5808826(e58088)Online publication date: 20-Nov-2024
https://doi.org/10.2196/58088
Loerakker MNiess JWoźniak P(2024)Technology which Makes You ThinkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596158:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659615
Loerakker MNiess JBentvelzen MWoźniak P(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
https://dl.acm.org/doi/10.1145/3631448
Stefanidi EWassmann JWoźniak PSpellmeyer GRogers YNiess J(2024)MoodGems: Designing for the Well-being of Children with ADHD and their Families at HomeProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655795(480-494)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655795
Wilson MShaban JMaior HSchneegass CCox A(2024)The CHI’24 Workshop on the Future of Cognitive Personal InformaticsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636296(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636296
Strömel KHenry SJohansson TNiess JWoźniak P(2024)Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data InterpretationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642032(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642032
Yfantidou SYfantidou GBalaska PVakali A(2024)Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field studyMultimedia Tools and Applications10.1007/s11042-024-20240-9Online publication date: 19-Sep-2024
https://doi.org/10.1007/s11042-024-20240-9
Bentvelzen MNiess JWoźniak P(2023)Designing Reflective Derived Metrics for Fitness TrackersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694756:4(1-19)Online publication date: 11-Jan-2023
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Wagener NBentvelzen MDänekas BWoźniak PNiess J(2023)VeatherReflect: Employing Weather as Qualitative Representation of Stress Data in Virtual RealityProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596125(446-458)Online publication date: 10-Jul-2023
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Stefanidi ESchöning JRogers YNiess J(2023)Children with ADHD and their Care Ecosystem: Designing Beyond SymptomsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581216(1-17)Online publication date: 19-Apr-2023
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