Scott's Short Bio
I am a Researcher in the Computational User Experiences (CUE) group within the VIBE area at Microsoft Research. I recently completed my PhD in the Computer Science & Engineering department at the University of Washington where I was advised by Professor James Landay and Dr. Desney Tan. My general research interests are Human-Computer Interaction (HCI) and Ubiquitous Computing (UbiComp). More specifically, I tend to spend most of my time exploring off-desktop interfaces including Physiological Computing and "Natural User Interfaces." In my dissertation work, I created new human-computer interfaces by exploring techniques to harness the untapped bandwidth of the human body for physiological interfaces to computing. The focus of my work in this area has been muscle-computer interfaces.
Scott's Web Page
Scott's web page lives at http://research.microsoft.com/~ssaponas
- Erin Griffiths, T. Scott Saponas, and A.J. Bernheim Brush, Health Chair: Implicitly Sensing Heart and Respiratory Rate, ACM – Association for Computing Machinery, 17 September 2014.
- Aman Kansal, Scott Saponas, AJ Brush, Kathryn McKinley, Todd Mytkowicz, and Ryder Ziola, The Latency, Accuracy, and Battery (LAB) Abstraction: Programmer Productivity and Energy Efficiency for Continuous Mobile Context Sensing, in OOPSLA, ACM, 31 October 2013.
- Matthias Böhmer, T. Scott Saponas, and Jaime Teevan, Smartphone Use Does Not Have to Be Rude: Making Phones a Collaborative Presence in Meetings, ACM – Association for Computing Machinery, August 2013.
- Jason Wiese, T. Scott Saponas, and A.J. Brush, Phoneprioception: Enabling Mobile Phones to Infer Where they Are Kept, in CHI 2013, ACM, April 2013.
- Loris D'Antoni, Alan Dunn, Suman Jana, Tadayoshi Kohno, Benjamin Livshits, David Molnar, Alexander Moshchuk, Eyal Ofek, Franziska Roesner, Scott Saponas, Margus Veanes, and Helen J Wang, Operating System Support for Augmented Reality Applications, no. MSR-TR-2013-12, January 2013.
- T. Scott Saponas, Brian R. Meyers, and A.J. Bernheim Brush, Human-Activity Recognition (HAR) Everywhere: Embedded, Mobile, Desktop, Home & Cloud, in Pervasive 2011 Workshop: Frontiers in Activity Recognition using Pervasive Sensing (IWFAR), Microsoft Research, June 2011.