Research

Personal Informatics & HCI

Personal Informatics is a class of applications that help people collect personally relevant information for the purpose of self-reflection and gaining self-knowledge. My research uses Human-Computer Interaction (HCI) methods to explore the design, development, and evaluation of personal informatics systems to improve how people collect and reflect on their personal information.

Projects

Dissertation (in progress):
Using Contextual Information in Personal Informatics Systems
to Reveal Factors that Affect Behavior

Today, there is a personal informatics system for almost any behavior (view a list of systems). These systems help people collect behavioral information to explore and reflect on. Because most systems only show behavioral information, finding factors that affect one's behavior is difficult. Incorporating contextual information, such as location, may help. To explore this, I developed prototypes of IMPACT, a system for physical activity awareness with support for contextual information. Previous deployments showed that context can increase people's awareness of opportunities for physical activity and automation facilitates long-term use but reduces immediate awareness. I will develop a third prototype that supports better selection of contextual information, maintenance of immediate awareness during automated collection, and improved visualizations. I will compare the prototype in a field study to a steps-only system and identify features critical to its effectiveness. I will take the lessons learned and describe how they may apply to supporting contextual information in personal informatics systems for other types of behaviors.

Personal Informatics + Context


Model of Personal Informatics

This is a model of personal informatics systems that we hope would be valuable for research and development. It provides a common framework for describing, comparing, and evaluating the growing number of this class of systems. This model is composed of five stages (preparation, collection, integration, reflection, and action). These stages have four properties: barriers cascade to later stages; they are iterative; they are user-driven and/or system-driven; and they are uni-faceted or multi-faceted.

Ian Li, Anind K. Dey, and Jodi Forlizzi. A Stage-Based Model of Personal Informatics Systems. CHI 2010, Atlanta, GA, 2010.

Model of personal informatics


IMPACT

IMPACT, Improving and Motivating Physical Activity using ContexT, is a system that monitors and informs users about their physical activity and the context in which the activities happen. The system shows real-time information on a phone interface and historical information on a desktop and online interface. By contextualizing physical activity, the system increases users' awareness of their physical activity.

Ian Li, Anind K. Dey, and Jodi Forlizzi. Using Contextual Information to Improve Awareness of Physical Activity. Engaging Data 2009, Boston, MA, 2009.
Ian Li, Anind K. Dey, and Jodi Forlizzi. Monitoring and Feedback to Increase Awareness of Exercise Activities. Ubicomp 2005 Workshop on Monitoring, Measuring, and Motivating Exercise: Ubiquitous Computing to Support Physical Fitness, Tokyo, Japan, 2005.

IMPACT screenshot


ActionShot / CoScripter Reusable History

CoScripter Reusable History records everything you do on the web and captures a log of your web browsing activity. You can review your CoScripter history to find actions that you do often, convert sequences of actions into reusable scripts, and share them with your friends.

Ian Li, Jeff Nichols, Tessa Lau, Clemens Drews, and Allen Cypher. Here's What I Did: Sharing and Reusing Web Activity with ActionShot. CHI 2010, Atlanta, Georgia, 2010.

ActionShot


ES+Feedback

ES+Feedback extends the experience sampling method by providing feedback/visualizations of the users' collected responses. During a one month study of the method with 25 participants, we found that participants who saw visualizations maintained the same level of participation, while those who didn't see visualizations decreased.

Gary Hsieh, Ian Li, Anind Dey, Jodi Forlizzi, and Scott Hudson. Using Visualizations to Increase Compliance in Experience Sampling. Ubicomp 2008, Seoul, Korea, 2008, pp. 164-167.

ES+Feedback screenshot


My Agent as Myself

My Agent as Myself studies what happens when users interact with embodied conversational agents that look like them. Would users follow the agents' advice? Users in the study created faces for agents, one that resembled them and one that is suitable for providing feedback. We found when someone else created the faces, users listened more to faces that resembled them. However, when users created the faces, they listened less to their own face.

Ian Li, Jodi Forlizzi, Anind Dey, and Sara Kiesler. My Agent as Myself or Another: Effects on Credibility and Listening to Advice. DPPI 2007, Helsinki, Finland, 2007, pp. 194-208.
Ian Li, Jodi Forlizzi, Anind Dey, and Sara Kiesler. When the Interface is the User's Face: Ideas for Research and Applications. CHI 2006 Workshop on HCI and the Face, Montreal, Canada, 2006.

My Agent As Myself screenshot


Grafitter

Grafitter facilitates collection of personal information by leveraging people's everyday use of Twitter. Users can explore their Twitter updates for patterns and trends using Grafitter visualizations.

Ian Li, Anind Dey, and Jodi Forlizzi. Grafitter: Leveraging Social Media for Self-Reflection. Crossroads, 16(2), December 2009, pp. 12-13.

MoodJam

MoodJam is a website that allows users to record their moods and share them with friends and family. Users record their moods with words and color combinations, which are visualized as color strips. The site serves as a mood diary for users to reflect on trends of their moods and on colors they associate with specific moods. The site also serves as an awareness tool for users to keep in touch with friends and family.


Office Activity Awareness

Keeping track of one's activities detracts from actual work, but awareness of activities can help in managing productivity. I created a system that tracks activities around the work table and correlated them with self-reported measurements of productivity.

Visit the project website »

© 2010 Ian Li  //  All rights reserved.
Contact  //  ianli at cmu dot edu