bio Teaching/Advising Projects Publications CV Education Past
affiliations Past courses Advice for students Grants Mailing lists Other
Interested in personal health technologies and health behavior?
See my research group website for examples of the type of projects we work on. Northeastern made a short "what if" video that summarizes one of our goals.
My research group is recruiting new Ph.D. students to enter in September 2021. More information can be found on my group's website. PhD students from personal health informatics, computer science, and population health could all work with the group. We are also interested in recruiting Northeastern students to work on research projects. Contact me if you are interested in learning more. We have a great group of students and are always looking for more. If you are looking for faculty positions, we have open positions for faculty working on HCI and health and related areas.
Computationally detecting and modeling health-related behavior using interactive systems; combining wearable sensing and user interface systems to support preventive medicine and personal, behavioral informatics; novel technologies and algorithms for real-time and longitudinal measurement of behavior; persuasive user interfaces for motivating behavior change; sensor-enabled mobile health technologies; context-aware ecological momentary assessment; experimental ubiquitous and mobile computing; active transportation (via bicycle).
I am exploring the development and evaluation of personal, behavioral health informatics – how sensor data acquired throughout everyday life from smartwatches, smartphones, wearable monitors, and in-home sensors might be used to improve wellness via novel human-computer interfaces. This research involves merging ideas from the computer science subfields of human-computer interaction, applied pattern recognition and machine learning, and computational sensing and artificial intelligence with ideas from behavioral science, behavioral medicine, social psychology, and preventive medicine. I am particularly interested in how algorithms that reliably recognize everyday activities and habits can drive the development of interactive preventive health tools that could ultimately be applied at the population scale in a cost-effect manner. Within computer science, this requires developing new user-driven
activity detection algorithms that use context and common-sense information, without requiring large training sets; a focus is on person-in-the-loop interactive, explanatory behavior recognition interfaces. Within preventive medicine, this requires building and deploying pilot systems and demonstrating that the technology has a meaningful impact on health outcomes; a focus is on demonstrating that technology can support long-term engagement with behavior change and maintenance. As part of this work, my research group has worked to create new tools that can be used to both measure and motivate behavior
change using novel sensor-based technologies.
In the fall of 2020, I am teaching DS 2001 (Programming with Health Data), an introductory course for students studying health sciences to learn how to program with data in Python (combined with DS 2000). In the spring of 2021, I am slated to teach IS 4300/CS 5340 (Human-Computer Interaction) and DS 2001 again.
I am open to the possibility of advising students interested in directed studies on mobile/wearable computing or sensing projects (including using smartphones, smartwatches, Google Glass, a virtual bicycle simulator, or in-home sensors) as well as health projects that explore new ways of measuring or motivating behavior change. Contact me if you are interested and check out the pages on getting involved on my research group's site.
See my past courses.
For a list of current projects, check out my research group's website, which has a bit of information about each project.
My current research foci are:
- Measuring physical activity (type, duration, and intensity), sedentary behavior, and sleep using mobile phones and wearable sensors in adults, children, older adults, and people with special needs
- Novel methods for real-time, longitudinal measurement of health behaviors using microinteractions and microinteraction ecological momentary assessment -- reinventing measurement as we know it
- Real-time health interventions to help people change and maintain health-related behaviors
- Innovative methods using ecological momentary assessment technology
- Practical methods for real-time, human-in-the-loop activity recognition on mobile phones and smartwatches, using common sense knowledge and limited training data
- Using games and the crowd to improve the utility of personal health data collected from mobile devices/sensors
- Technology to promote active transportation via bicycling
My research group does highly interdisciplinary work and we aim to publish in both computer science conference venues (e.g., IMWUT/Ubicomp and CHI) and health journals (e.g., MSSE, Health Psychology). For a list of my publications, see my group website's publication page.
Ph.D. Media Arts and Sciences
Massachusetts Institute of Technology, 1999
Area: Computational Perception / Computer Vision
Thesis: Visual Recognition of Multi-Agent Action
Advisor: Aaron Bobick
S.M., Media Arts and Sciences
Massachusetts Institute of Technology, 1994
Research: Computer Vision
B.S.E., Computer Science and Engineering
University of Pennsylvania, 1992
September 2010 - present
September 1999 - 2012
The MIT Media Laboratory, Vision and Modeling Group
The UPenn GRASP Laboratory
Programming with Data Health Practicum (DS 2001) (Fall 2018, Spring 2019, Fall 2019, Fall 2020, Spring 2021)
Computer/Human Interaction (IS 4300/CS 5340 joint) (Spring 2020, Spring 2021) and (CS 5340) (Spring 2012)
Empirical Research Methods (IS 4800/CS 6350) (Spring 2019)
Advances in Measuring Behavior (PHTH 5228) (Fall 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016)
Mobile Application Development (CS 4520/5520) (Summer 2011, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Spring 2017)
Personal Health Interfaces Design and Development (HINF 5300) (Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019)
Personal Health Technologies: Field Deployment and System Evaluation (HINF 5301) (Assisted teaching in Spring 2014)
MIT 4.208 Designing Persuasive Environments and Technologies
(Fall 2004, Fall
Building Interactive Environments (with C.S. Pinhanez)
(SIGGRAPH 2003 San Diego, SIGGRAPH 2002 San Antonio)
MIT 4.208 User Interface Design Studio for Future Computing Environments (Fall
2001, Fall 2000)
MIT 4.184 Home of the Future / Community of the Future (with K. Larson) (Fall 1999)
MIT IAP events: Visions of the
Future: Screening and Making Concept Videos; IAP
2004); Movie Making: Inventing the Future of
(IAP 2003); Ubiquitous Computing Design
Contest (IAP 2003); Designing a User
Interface "Age Suit"
(IAP 2002); Hack a Home of
the Future Computer Interface
(IAP 2001); Inventing a Home of the Future lunchtime seminar
Advice for students
I recommend that all my students or potential students read the following materials: Stephen's
Thesis Development and Writing
See my CV...
If you are local, consider joining the Personal Health Informatics (personal/behavioral health technologies and health informatics) or Mobile (novel mobile phone technologies) mailing lists. I forward relevant announcements to those lists.
- Cooking for my family, FIRST robotics with my daughter, hiking and other outdoor
activities, canine clicker training, interactive storytelling, exploring Boston and surroundings.
A favorite book
Any book I read with my daughter.
Most wishes to have dinner with
"The best way to predict the future is to invent
it." -Alan Kay, computing pioneer
"A prototype is worth a thousand meetings." -Mike Davidson, VP of Design, Twitter