My Ph.D. thesis explores the use of contextual information in personal informatics systems to help users understand the factors that affect their behavior. Most personal informatics systems only show one type of behavioral information, which makes it difficult to discover the factors that affect one's behavior. Supporting exploration of multiple types of contextual and behavioral information in a single interface may help.
Publications
Using context to reveal factors that affect physical activity
Ian Li, Anind K. Dey, Jodi Forlizzi
ACM Transactions on Computer Human Interaction, vol. 19(1), 2012 Mar, pp. 1-21
Understanding My Data, Myself: Supporting Self-Reflection with Ubicomp Technologies
Ian Li, Anind K. Dey, Jodi Forlizzi
Ubicomp 2011, 2011, pp. 405-414
A stage-based model of personal informatics systems
Ian Li, Anind K. Dey, Jodi Forlizzi
CHI 2010, 2010, pp. 557-566