I am a Human-Computer Interaction researcher. My research interests lie at the intersection of human-computer interaction, ubiquitous computing,informatics, and applications in real-world problems of health and social connections. I am interested in bringing about the future of mobile and ubiquitous computing by tracking and making sense of the simple actions that people do in their everyday lives to reveal rich patterns about people's behaviors and help people achieve their goals.
I am currently a Member of Research Staff at Philips Research, focusing on designing systems for patient engagement and clinical decision support. I received my M.S. and Ph.D in Human-Computer Interaction from the HCI Institute at Carnegie Mellon University in 2010 and 2012. At CMU, I was a member of the Ubicomp Lab. Prior to my career in research, I was a software engineer working on UI frameworks at Oracle Corporation after receiving B.A. in Cognitive Science and Computer Science from the University of California, Berkeley.
Ordinary life is mundane but tremendously rich with data. Our interactions with people, objects, and technology in our everyday lives are an immense source of information for understanding our habits, motives, and intentions. Our motives and habits are the heart of societal problems in energy use, finance, socialization, and particularly health. My research goal is two-fold: 1) to design, build, and evaluate mobile and embedded sensing systems that capture and reveal the rich behavioral patterns found in everyday life and 2) to use these pattens to build intelligent applications and services that address real world problems in health. My research takes an interdisciplinary approach combining methods from interaction design, behavioral science, computer science, and health. One project I lead was dwellSense, a system that can sense, rate, and reflect back how older adults carry out tasks important for independence. (more)
E-mail: matt [at] mattllee.com