Ian Li
Anind K. Dey
ABSTRACT
We live in a world where many kinds of data about us can be collected and more will be collected as Ubicomp technologies mature. People reflect on this data using different tools for personal informatics. However, current tools do not have sufficient understanding of users' self-reflection needs to appropriately leverage Ubicomp technologies. To design tools that effectively assist self-reflection, we need to comprehensively understand what kinds of questions people have about their data, why they ask these questions, how they answer them with current tools, and what kinds of problems they encounter. To explore this, we conducted interviews with people who use various kinds of tools for personal informatics. We found six kinds of questions that people asked about their data. We also found that certain kinds of questions are more important at certain times, which we call phases. We identified two phases of reflection: Discovery and Maintenance. We discuss the kinds of questions and the phases in detail and identify features that should be supported in personal informatics tools for which Ubicomp technologies can play an important role.
Supplemental Material
- Abowd, G.D. & Mynatt, E.D. Charting Past, Present, and Future Research in Ubiquitous Computing. TOCHI, 2000, pp. 29--58. Google Scholar
Digital Library
- Andrews, D. The IRG Solution - Hierarchical Incompetence and How to Overcome It. Souvenir Press: London, 1984.Google Scholar
- Brophy-Warren, J. "The New Examined Life." Wall Street Journal, 6 Dec 2008.Google Scholar
- Card, S.K., Mackinlay, J.D., & Shneiderman, B. Readings in information visualization: using vision to think. Morgan Kaufman: 1999. Google ScholarDigital Library
- Carver, C. & Scheier, M.F. On the self-regulation of behavior. Cambridge University Press, 2001.Google Scholar
- Consolvo, S., McDonald, D.W., & Landay, J. Theory-Driven Design Strategies for Technologies that Support Behavior Change in Everyday Life. CHI'09, pp. 405--414. Google ScholarDigital Library
- DiClemente, C.C., Marinilli, A.S., Singh, B., & Bellino, E. The Role of Feedback in the Process of Health Behavior Change. American Journal of Health Behavior, 25(3), 2000, pp. 217--227.Google ScholarCross Ref
- Endsley, M.R. The Role of Situation Awareness in Naturalistic Decision Making. Naturalistic Decision Making, 1997, pp. 269--282.Google Scholar
- Freeman, E. & Gelernter, D. Lifestreams: A Storage Model for Personal Data. SIGMOD Record, 25(1), 1996, pp. 80--86. Google ScholarDigital Library
- Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., & Landay, J.A. Ubigreen: Investigating a Mobile Tool for Tracking and Supporting Green Transportation Habits. CHI'09, pp. 1043--1052. Google ScholarDigital Library
- Frost, J. and Smith, B.K. Visualizing Health: imagery in diabetes education. DUX'03, pp. 1--14. Google ScholarDigital Library
- Gemmell, J., Bell, G., and Lueder, R. MyLifeBits: a personal database for everything. Communications of the ACM, 2006, pp. 88--95. Google ScholarDigital Library
- He, A.H., Greenberg, S., & Huang, E.M. One Size Does Not Fit All: Applying the Transtheoretical Model to Energy Feedback Technology Design. CHI'10, pp. 927--936. Google ScholarDigital Library
- Hodges, S., Williams, L., Berry, E., et al. SenseCam: A Retrospective Memory Aid. Ubicomp'06, pp. 177--193. Google ScholarDigital Library
- Intille, S.S., Rondoni, J., Kukla, C., Ancona, I., & Bao, L. A Context-Aware Experience Sampling Tool. CHI'03, pp. 972--973. Google ScholarDigital Library
- Jones, W., & Teevan, J. Personal Information Management. UW Press, 2007.Google ScholarCross Ref
- Li, I., Dey, A.K., & Forlizzi, J. A Stage-Based Model of Personal Informatics Systems. CHI'10, pp. 557--566. Google ScholarDigital Library
- Lin, J.J., Mamykina, L., Lindtner, S., Delajoux, G., & Strub, H.B. Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. Ubicomp'06, pp. 261--278. Google ScholarDigital Library
- Matthews, T., Rattenbury, T., & Carter, S. Defining, designing, and evaluating peripheral displays: an analysis using Activity Theory. Human-Computer Interaction Journal, 22(1), 2007. Google ScholarDigital Library
- Miller, T. & Stasko, J. Artistically Conveying Information with the InfoCanvas: A Highly, Personalized, Elegant Awareness Display. AVI'02. Google ScholarDigital Library
- Peesapati, S.T., Schwanda, V., Schultz, J., Lepage, M., Jeong, S., & Cosley, D. Pensieve: Supporting Everyday Reminiscence. CHI'10, pp. 2027--2036. Google ScholarDigital Library
- Pousman, Z. & Stasko, J. A Taxonomy of Ambient Information Systems: Four Patterns of Design. AVI'06, pp. 67--74. Google ScholarDigital Library
- Powers, W.T. Behavior: The control of perception. Chicago: Alidine, 1973.Google Scholar
- Preuveneers, D. & Berbers, Y. Mobile Phones Assisting With Health Self-Care: a Diabetes Case Study. MobileHCI'08, pp. 177--186. Google ScholarDigital Library
- Prochaska, J.O., Velicer, W.F. The Transtheoretical Model of health behavior change. American Journal of Health Promotion, 12(1), 1997, pp. 38--48.Google ScholarCross Ref
- Schank, R.C. & Abelson, R.P. Scripts, plans, goals, and understanding. Hillsdale, NJ: Erlbaum, 1977.Google Scholar
- Schunk, D. H., & Swartz, C. W. Goals and progress feedback: Effects on self-efficacy and writing achievement. Contemporary Educational Psychology, 18(3), 1993, pp. 337--354.Google ScholarCross Ref
- Seligman, C., & Delay, J.M. Feedback as a Means of Decreasing Residential Energy Consumption. Journal of Applied Psychology, 62(4), 1977, pp. 363--368.Google ScholarCross Ref
- Weiser, M. The Computer for the 21st Century. SIGMOBILE, 3(3), July 1991, pp. 3--11. Google ScholarDigital Library
- Wolf, G. "The Data-Driven Life." The New York Times, 28 April 2010.Google Scholar
Index Terms
- Understanding my data, myself: supporting self-reflection with ubicomp technologies
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