I am a Ph.D. candidate at the Information School at the University of Washington. With a background in Human-Computer Interaction (HCI), Health Informatics, and Industrial Design, I study how we can design technology to promote healthy behaviors. In particular, I explore ways to support self-monitoring practices such that people can collect personal data easily, learn their behavioral patterns, and develop positive changes for health. I examine this topic in the context of improving people's sleep behavior and promoting physical activity.

During my graduate studies I was fortunate to intern at a number of great research labs including Microsoft Research in Redmond and Intel Labs in Seattle. My enthusiasm for design led me to work at Google as a user experience design intern, and my internship project—designing the entire user interfaces of Google Video Chat—was successfully launched in 2008 and had been used by millions of people. In 2013, I was honored as a Google Anita Borg Scholar.

Technology & Health Monitoring

The formative work on exploring the design space for technologies that support healthy sleep behaviors [CHI 2011] led me to work on two research projects: (1) Designing a mobile application to enhance self-awareness of sleep and sleep-related behaviors—such as caffeine, meal, alcohol, or exercise; and (2) Designing an application to help people understand how environmental factors impact sleep [UbiComp 2012].

Nudging by Design

I explored ways to create persuasive, effective feedback to nudge people toward positive behaviors—such as making healthy decisions [AMIA 2013] and privacy-preserving choices [Interact 2013]. I provided empirical guidance for creating persuasive feedback, thereby helping people design applications to promote positive behaviors.

Privacy

Self-monitoring systems often involve collecting intimate and personal data of the primary users as well as secondary stakeholders and bystanders. In an effort to develop systems that account for the needs and concerns of people using these systems, I investigated privacy risks and implications of in-home sensing and inference systems through anonymous surveys using MTurk and physical postcards [UbiComp 2011] and Sensor Proxies [UbiComp 2012].

Selected Publications

Choe, E.K., Lee, N.B., Lee, B., Pratt, W., Kientz, J.A. (2014).
Understanding Quantified Selfers’ Practices in Collecting and Exploring Personal Data.
Proc. ACM Human Factors in Computing Systems (CHI '14). To Appear.
[Acceptance rate 22.8%] Honorable Mention Award [PDF]
Choe, E.K., Lee, B., Munson, S.A., Pratt, W., Kientz, J.A. (2013).
Persuasive Performance Feedback: The Effect of Framing on Self-Efficacy.
Proc. American Medical Informatics Association (AMIA '13).
[Acceptance rate 31%] Best Student Paper Nominee [PDF] [Presentation]
Choe, E.K., Consolvo, S., Jung, J., Harrison, B., Patel, S.N., & Kientz, J.A. (2012).
Investigating Receptiveness to Sensing and Inference in the Home Using Sensor Proxies.
Proc. ACM Ubiquitous Computing (UbiComp '12).
[Acceptance rate 19%] Best Paper Nominee [PDF] [Presentation] [ACM]
Kay, M., Choe, E.K., Shepherd, J., Greenstein, B., Consolvo, S., & Kientz, J.A. (2012).
Lullaby: A Capture & Access System for Understanding the Sleep Environment.
Proc. ACM Ubiquitous Computing (UbiComp '12).
[Acceptance rate 19%] Best Paper Award [PDF] [ACM]
Choe, E.K., Consolvo, S., Watson, N.F., & Kientz, J.A. (2011).
Opportunities for Computing Technologies to Support Healthy Sleep Behaviors.
Proc. ACM Human Factors in Computing Systems (CHI '11).
[Acceptance rate 27%] [PDF] [Presentation] [ACM]