Author(s):

Daniel A. Epstein

An Ping

James Fogarty

Sean A Munson

 

Abstract: 

Current models of how people use personal informatics systems are largely based in behavior change goals. They do not adequately characterize the integration of self-tracking into everyday life by people with varying goals. We build upon prior work by embracing the perspective of lived informatics to propose a new model of personal informatics. We examine how lived informatics manifests in the habits of self-trackers across a variety of domains, first by surveying 105, 99, and 83 past and present trackers of physical activity, finances, and location and then by interviewing 22 trackers regarding their lived informatics experiences. We develop a model characterizing tracker processes of deciding to track and selecting a tool, elaborate on tool usage during collection, integration, and reflection as components of tracking and acting, and discuss the lapsing and potential resuming of tracking. We use our model to surface underexplored challenges in lived informatics, thus identifying future directions for personal informatics design and research.
Documentation: https://dl.acm.org/doi/10.1145/2750858.2804250

References

Bandura, A. Social Cognitive Theory of Self-Regulation. J Organ Behav Hum Dec, 50 (1991), 248–287.

Baumer, E. P. S., Khovanskaya, V., Matthews, M., Reynolds, L., Sosik, V. S., and Gay, G. Reviewing Reflection: On the Use of Reflection in Interactive System Design. DIS 2014, 93–102.

Bentley, F., Tollmar, K., Stephenson, P., Levy, L., Jones, B., Robertson, S., Price, E., Catrambone, R., and Wilson, J. Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change. TOCHI 20, 5 (2013), 1–27.

Bentley, F. and Tollmar, K. The Power of Mobile Notifications to Increase Wellbeing Logging Behavior. CHI 2013, 1095–1098.

Berinsky, A. J., Huber, G. A., and Lenz, G. S. Evaluating Online Labor Markets for Experimental Research: Amazon.com’s Mechanical Turk. Political Analysis 20, (2012), 351–368.

Choe, E. K., Lee, N. B., Lee, B., Pratt, W., and Kientz, J. A. Understanding Quantified-Selfers’ Practices in Collecting and Exploring Personal Data. CHI 2014, 1143–1152.

Choe, E. K. Designing Self-Monitoring Technology to Promote Data Capture and Reflection. PhD Dissertation. The Information School, University of Washington, Seattle Washington.

Consolvo, S., Everitt, K., Smith, I., and Landay, J. A. Design Requirements for Technologies that Encourage Physical Activity. CHI 2006, 457–466.

Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A., and Tabert, J. Location Disclosure to Social Relations: Why, When, & What People Want to Share. CHI 2005, 81–90.

Cordeiro, F., Bales, E., Cherry, E., and Fogarty, J. Rethinking the Mobile Food Journal: Exploring Opportunities for Lightweight Photo-Based Capture. CHI 2015, 3207–3216.

Cordeiro, F., Epstein, D. A., Thomaz, E., Bales, E., Jagannathan, A. K., Abowd, G. D., and Fogarty, J. Barriers and Negative Nudges: Exploring Challenges in Food Journaling.

CHI 2015, 1159–1162. Curmi, F., Ferrario, M. A., Southern, J., and Whittle, J. HeartLink: Open Broadcast of Live Biometric Data to Social Networks. CHI 2013, 1749–1758.

Dawe, M. Desperately Seeking Simplicity: How Young Adults with Cognitive Disabilities and Their Families Adopt Assistive Technologies. CHI 2006, 1143–1152.

Downs, J. S., Holbrook, M. B., Sheng, S., and Cranor, L. F. Are your Participants Gaming the System? Screening Mechanical Turk Workers. CHI 2010, 2399–2402.

Epstein, D. A., Cordeiro, F., Bales, E., Fogarty, J., and Munson, S. A. Taming Data Complexity in Lifelogs: Exploring Visual Cuts of Personal Informatics Data. DIS 2014, 667–676.

Fritz, T., Huang, E. M., Murphy, G. C., and Zimmermann, T. Persuasive Technology in the Real World: A Study of Long-Term Use of Activity Sensing Devices for Fitness. CHI 2014, 487–496.

Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., and Wood, K. SenseCam: A Retrospective Memory Aid. UbiComp 2006, 177–193.

Humphreys, L. Mobile Social Networks and Social Practice: A Case Study of Dodgeball. J Compu-Mediat Comm 13, (2007), 341–360.

Kay, M., Morris, D., schraefel, m.c., and Kientz, J. A. There’s No Such Thing as Gaining a Pound: Reconsidering the Bathroom Scale User Interface. UbiComp 2013, 401–410.

Kaye, J. J., Mccuistion, M., Gulotta, R., and Shamma, D. A. Money Talks: Tracking Personal Finances. CHI 2014, 521–530. Li, I., Dey, A., and Forlizzi, J. A Stage-Based Model of Personal Informatics Systems. CHI 2010, 557–566.

Li, I., Dey, A. K. A., and Forlizzi, J. Understanding My Data, Myself: Supporting Self-Reflection with Ubicomp Technologies. UbiComp 2011, 405–414.

Lin, J. J., Mamykina, L., Lindtner, S., Delajoux, G., and Strub, H. B. Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game. UbiComp 2006, 261–278.

Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., and Zimmerman, J. I’m the Mayor of My House: Examining Why People Use Foursquare-A Social-Driven Location Sharing Application. CHI 2011, 2409–2418.

Maitland, J. and Chalmers, M. Designing for Peer Involvement in Weight Management. CHI 2011, 315–324.

Munson, S. A. and Consolvo, S. Exploring Goal-Setting, Rewards, Self-Monitoring, and Sharing to Motivate Physical Activity. PervasiveHealth 2012, 25–32.

Munson, S. A., Krupka, E., Richardson, C., and Resnick, P. Effects of Public Commitments and Accountability in a Technology-Supported Physical Activity Intervention. CHI 2015, 1135–1144.

Newman, M., Lauterbach, D., Munson, S. A., Resnick, P., and Morris, M. E. “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. CSCW 2011, 341–350.

Olson, P. Wearable Tech is Plugging into Health Insurance. Forbes. http://www.forbes.com/sites/parmyolson/2014/06/19/wearable-tech-health-insurance/.

Page, X. and Kobsa, A. Navigating the Social Terrain with Google Latitude. iConference 2010, 174–178.

Powers, W. T. Behavior: The Control of Perception. Benchmark Publications, 2005.

Prochaska, J. O. and Velcier, W. F. The Transtheoretical Model of Health Behavior Change. American Journal of Health Promotion 12, 1 (1997), 38–48.

Rahman, T., Adams, A. T., Zhang, M., Cherry, E., Zhou, B., Peng, H., and Choudhury, T. BodyBeat: A Mobile System for Sensing Non-Speech Body Sounds. MobiSys 2014, 2–13.

Rooksby, J., Rost, M., Morrison, A., and Chalmers, M. Personal Tracking as Lived Informatics. CHI 2014, 1163–1172. Schoenebeck, S. Y. Giving up Twitter for Lent: How and Why We Take Breaks from Social Media. CHI 2014, 773–782.

Schön, D. A. The Reflective Practitioner. Basic Books, 1983.Smith, I., Consolvo, S., Lamarca, A., Hightower, J., Scott, J., Sohn, T., Hughes, J., Iachello, G., and Abowd, G. D. Social Disclosure of Place: From Location Technology to Communication Practices. Pervasive 2005, 134–151.

Tang, K. P., Lin, J., Hong, J. I., Siewiorek, D. P., and Sadeh, N. Rethinking Location Sharing: Exploring the Implications of Social-Driven vs. Purpose-Driven Location Sharing. UbiComp 2010, 85–94.

Thomaz, E., Zhang, C., Essa, I., and Abowd, G. D. Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study. IUI 2015, 427–431.

Toscos, T., Faber, A., Connelly, K., and Upoma, A. M. Encouraging Physical Activity in Teens: Can Technology Help Reduce Barriers to Physical Activity in Adolescent Girls? PervasiveHealth 2008, 218–221.

Whooley, M., Gray, K., Ploderer, B., and Gray, K. On the Integration of Self-tracking Data amongst Quantified Self Members. HCI 2014, 151–160.