Matthew Lee, Ph.D.

Senior Research Scientist

Matthew Lee

Matt joined FXPAL in 2016. His research focuses on personal informatics, behavior change, enhancing collaboration through reflection, and Internet of Things. Prior to FXPAL, Matt was at Philips Research where he worked on technologies for patient engagement, patient-generated health data, and clinical decision support.

He received his Ph.D. from the Human-Computer Interaction Institute from the School of Computer Science at Carnegie Mellon. He received a Bachelor’s degree in Cognitive Science and Computer Science from the University of California, Berkeley.

For more information, see Matt’s personal page.




Publication Details
  • Computer-Supported Cooperative Work and Social Computing
  • Nov 1, 2017


Video telehealth is growing to allow more clinicians to see patients from afar. As a result, clinicians, typically trained for in-person visits, must learn to communicate both health information and non-verbal affective signals to patients through a digital medium. We introduce a system called ReflectLive that senses and provides real-time feedback about non-verbal communication behaviors to clinicians so they can improve their communication behaviors. A user evaluation with 10 clinicians showed that the real-time feedback helped clinicians maintain better eye contact with patients and was not overly distracting. Clinicians reported being more aware of their non-verbal communication behaviors and reacted positively to summaries of their conversational metrics, motivating them to want to improve. Using ReflectLive as a probe, we also discuss the benefits and concerns around automatically quantifying the “soft skills” and complexities of clinician-patient communication, the controllability of behaviors, and the design considerations for how to present real-time and summative feedback to clinicians.


Work breaks can play an important role in the mental and physical well-being of workers and contribute positively to productivity. In this paper we explore the use of activity-, physiological-, and indoor-location sensing to promote mobility during work-breaks. While the popularity of devices and applications to promote physical activity is growing, prior research highlights important constraints when designing for the workplace. With these constraints in mind, we developed BreakSense, a mobile application that uses a Bluetooth beacon infrastructure, a smartphone and a smartwatch to encourage mobility during breaks with a game-like design. We discuss constraints imposed by design for work and the workplace, and highlight challenges associated with the use of noisy sensors and methods to overcome them. We then describe a short deployment of BreakSense within our lab that examined bound vs. unbound augmented breaks and how they affect users’ sense of completion and readiness to work.