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New Opportunities: Using Sensor-Driven Technologies for Measuring and Motivating Behavior Change |
| Sunday, May 27, 2012 |
| 11:00 AM–11:50 AM |
| 6BC (Convention Center) |
| Area: SCI; Domain: Basic Research |
| Instruction Level: Advanced |
| CE Instructor: Stephen Intille, Ph.D. |
| Chair: M. Christopher Newland (Auburn University) |
| STEPHEN INTILLE (Northeastern University) |
 Dr. Intille received his Ph.D. from MIT in 1999 working on computational vision at the MIT Media Laboratory, an S.M. from MIT in 1994, and a B.S.E. degree in Computer Science and Engineering from the University of Pennsylvania in 1992. He has published research on computational stereo depth recovery, real-time and multi-agent tracking, activity recognition, perceptually-based interactive environments, and technology for healthcare. Dr. Intille has been principal investigator on sensor-enabled health technology grants from the NSF, the NIH, foundations, and industry. After ten years as Technology Director of the House–Research Consortium at MIT, in 2010 he joined Northeastern University to help establish a new transdiciplinary Ph.D. program in Personal Health Informatics. |
| Abstract: I will present an overview of work by my research group exploring the development and evaluation of sensor-driven mobile health technologies for measuring and motivating health-related behavior. We are creating prototype technologies that use context-aware sensing to empower people with information by presenting it in timely, tailored ways via home and mobile computing devices. I will outline our general approach showing examples of technologies developed in pilot projects, with a special focus on an effort to develop a new open-source tool for measuring physical activity type, duration, intensity, and location on common mobile phones for population scale health studies. This activity measurement system, and others we are working on using common mobile phones, provide new ways to create what are known as persuasive technologies using positive reinforcement and tailored, just-in-time messaging. |
| Target Audience: Basic and applied researchers. |
| Learning Objectives: At the conclusion of the talk, participants will be able to: -- Describe techniques for monitoring and consequating behavior remotely -- Describe what context-aware sensing is -- Describe how remote monitoring is incorporated into every-day technologies (cell phones) and new technologies to be discussed in the talk. |
| Keyword(s): behavior sensors, health behavior, physical activity, remote monitoring |
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