Hello,
I am a Human-Computer Interaction researcher. My research interests lie at the intersection of ubiquitous computing, health informatics, and applications in real-world problems of health and social connections.
My research aims to bring about a more personalized and a
more meaningful future for mobile and ubiquitous computing by tracking and making sense of the simple actions that people do in their everyday lives to reveal rich behavioral patterns and help people achieve their goals. My research uses reflection and visualization of data as a means to foster better collaboration and communication patterns to help people get their work done.
I am currently a research scientist at FXPAL, located near Palo Alto, California. Prior to joining FXPAL, I started an HCI group in personal and connected health at Philips Research North America, now located in Cambridge, MA, formerly in near New York City.
I enjoy collaborating with others in academia and industry, so please contact me if you would like to discuss a project together.
Research & Design

dwellSense
Wellness through sensing and reflection
A integrated Internet-of-Things system for sensing, rating, and reflecting on how older adults carry out tasks for indepedence. It combines unobtrusive sensing, heuristic-based activity recognition, and multiple forms of feedback mechanisms based on behavioral theory to empower individuals with greater self awareness of their abilities and empower clinicians and caregivers with early, actionable signs of cognitive or functional decline in older adults.
Lee, M.L. and Dey, A.K. 2014. Real-time Feedback to Improve Medication Taking. CHI 2014 (Best Paper Award) (abstract) (pdf)
Lee, M.L. and Dey, A.K. 2014. Sensor-based Observations of Daily Living for Aging in Place. Personal and Ubiquitous Computing. September 2014, pages 1-17. (abstract)
Lee, M.L. Task-based Embedded Assessment of Functional Abilities for Older Adults Doctoral Dissertation, August 2012 (abstract) (pdf)
Lee, M.L. and Dey, A.K. 2011. Reflecting on Pills and Phone Use: Supporting Self-Awareness of Functional Abilities for Older Adults. CHI 2011 (Best Paper Honorable Mention) (pdf)
Lee, M.L. and Dey, A.K. 2011. Smart Lifelogging Technology for Episodic Memory Support. In Smart Healthcare Applications and Services: Developments and Practices. Röcker, C. & Ziefle, M. (Eds.) IGI Global, 2011. (link)
Lee, M.L. and Dey, A.K. 2010. Embedded Assessment of Aging Adults: A Concept Validation. In Proceedings of PervasiveHealth 2010.
(pdf)
Lee, M.L. 2010. Creating Salient Summaries of Home Activity Lifelog Data. CHI 2010 Doctoral Consortium. (pdf)
Press:
"CMU to research sensors to track elderly" (Pittsburgh Post-Gazette)
"Testing The Ability Of Embedded Sensors To Detect Onset Of Dementia, Infirmity" (Medical News Today)
"High tech helps elderly, impaired" (Pittsburgh Tribune-Review)