Stephen S. Intille, Ph.D.

Associate Professor
College of Computer and Information Science & Dept. of Health Sciences, Bouvé College of Health Sciences

Northeastern University
202 West Village H (Office 450)
360 Huntington Avenue
Boston, Massachusetts 02115 USA

The best way to reach me: ...@neu.edu
Tel: 617-373-3711


Interested in health technologies?

The Northeastern University transdisciplinary Ph.D. Program in Personal Health Informatics is accepting applications. Contact me if you are interested in learning more about it or applying as a student (and see this short video). We have open funded positions.

Since I moved to NEU from MIT, I've been building up my research group in mHealth. I'm looking for students at all levels, ranging from undergraduate students to postdocs. See the website for examples of projects and information about joining. Northeastern made a short :what if" video that summarizes our goal.

Also, 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.

If you are looking for faculty positions, note that Northeastern is making major investments in transdisciplianry hires and personal health informatics. There is the possibility of "cluster hires." Check the PHI website for more information or contact me if you have questions.


Research  Short bio  Teaching/Advising  Projects  Selected publications  CV  Education  Past affiliations  Past courses Advice for students Grants  Other

Research interests

Computational sensing, machine learning, and user interface systems for preventive medicine and personal, behavioral informatics; persuasive user interfaces for motivating behavior change; sensor-enabled mobile health technologies; context-aware ecological momentary assessment; experimental ubiquitous computing; living laboratories; perceptually-based interactive environments; pattern recognition and dynamic scene understanding; artificial intelligence; health technology and policy.

I am exploring the development and evaluation of personal, behavioral health informatics – how sensor data acquired throughout everyday life from miniature mobile 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 pattern recognition, machine learning, 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 recognize everyday activities 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 statistical integration of contextual information when large activity training sets are not available. Within preventive medicine, this requires building and deploying pilot systems and demonstrating that the technology does have a real-world impact on health outcomes. 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 taking advantage of emerging sensor-based technologies.  

[Short bio]

Current teaching/advising

In Spring 2014, I am teaching Mobile Application Development (CS 4520/5520) on Mon/Wed (2:50-4:30). [Syllabus]

I am also teaching Advances in Measuring Behavior (PHTH 5228) on Wed (5:00-7:30). [Syllabus] I will probably teach this course again in Spring 2015.

I am participating in HINF 5301, led by Rupal Patel. This course is the follow-up to the transdisciplinary course I led last semester: Personal Health Interface Design and Development (HINF 5300) (topic and syllabus: Reinventing healthcare with Google Glass).

In Fall 2014, I will most likely be teaching Mobile Application Development (see the FAQ) and Personal Health Interface Design and Development again, but nothing is set in stone.

I am open to the possibility of advising students for Summer or Fall 2014 interested in directed studies on mobile/wearable computing or sensing projects (including using Google Glass and the Pebble smartwatch). Contact me if you are interested: ...@neu.edu.

See my past courses.

Select present and past projects

New Projects (Coming Soon)

I need to make some time soon to update this part of my website. I have new projects on understanding behavior, using Google Glass, studying the behavior of college students, and using smartwatches to transform how we measure behavior for health. Check back soon...

Physical Activity Measurement on Mobile Phones

How can we use mobile phones, or phones augmented with additional miniature wireless sensors worn on the body, to detect detailed information about physical activity for health research? We are building an open-source hardware and software system to measure physical activity type, duration, intensity, and location for gene-environment interaction studies. See http://web.mit.edu/wockets.

Portable In-Home Data Collection

How can we easily instrument homes for doing research on ubiquitous computing and health technologies? We are building tools for in-home monitoring and developing datasets that can be used as a shared community resource. Essentially, we are creating a portable version a live-in multi-modal sensing system.  See http://boxlab.wikispaces.com.

User-Driven Pattern Recognition

Most pattern recognition algorithms that detect activity and context from in-home or wearable sensors assume the recognition system is a black box. However, we have reason to believe this will not work in practice, and we are conducting research on how one might create inference algorithms where end-users who know nothing about pattern recognition algorithms play a key role in sensor installation, sensor maintenance, algorithm training, and error correction. This requires rethinking the algorithms we use in the first place for activity recognition.

Operant Conditioning for Motivating Behavior Change

How can mobile devices motivate behavior change? One way might be to wait patiently, automatically detecting when someone does something just a bit better than what that person normally does using sensors such as accelerometers... and then providing context-sensitive, tailored encouragement. In other words, software on a mobile device might use computational sensing to detect behavior, and operant conditioning to motivate gradual behavior change. For one example project on this topic, where we are also learning how to run large-scale mobile phone research studies, see: Mobile Health Project.

Motivating Weight Loss Among Young Adults using Mobile Phones

With Duke Medical School researchers, we are developing and testing a mobile phone weight loss and weight maintenance application that operates entirely on mobile phones, using sensors built into the phone, Bluetooth scales, and social networking strategies to deliver a novel weight loss intervention that may scale well in cost. The effectiveness of the application for a two-year period will be evaluated in a randomized clinical trial. The project is in the application prototyping phase.

The PlaceLab

How can ubiquitous computing technologies be created that work for extended periods of time? How can persuasive interfaces designed to motivate behavior change in the home be studied in context? My research group, in collaboration with our partner TIAX, developed the PlaceLab - an apartment-scale shared research facility in a residential condominium building in Cambridge where new technologies and design concepts can be tested and evaluated in the context of everyday living. Although now replaced by BoxLab, we continue using valuable PlaceLab data and software tools.  

MITes (portable sensors)

The House_n group has developed a kit of wireless portable sensors that can be easily deployed in homes and offices for studying behavior and creating and evaluating novel context-sensitive human-computer interface systems. The sensors have been extensively tested (some in the PlaceLab), and they have been adopted by other research groups. They include sensors for measuring object motion, acceleration, current flow, heart rate, ultra-violet light, indoor position, and more. The mobile version of the sensors evolved into the Wockets.  

Computational perception and persuasive user interface design (multiple projects)

Can computers with computational sensing motivate behavior change? In my lab we are working on several projects using mobile and ubiquitous computers to both measure and motivate behavior change. We are studying the intersection between new user interface design strategies, computational tools for studying behavior change, computational learning algorithms for context recognition and planning, and behavioral and social psychology.  We focus on the evaluation of algorithms and devices we create in real environments. Much of this work involves measuring and motivating physical activity and healthy eating. A recent project developed a "GPS Thermostat" system that may encourage less energy use.   

Context-aware experience sampling tools (multiple projects)

How can we design tools for researchers in a variety of fields that help them study people in real contexts? We are developing novel tools for mobile computing devices that can gather data for both computational and public health studies in actual home settings. These tools use variations on a technique we refer to as context-aware experience sampling. We are exploring the viability of these tools on common mobile phones for large-scale medical research studies.   

Ubiquitous computing (circa 2005) (multiple projects)

In the House_n lab, we created a home-like pervasive computing environment with sensing systems, ubiquitous display, and laser pointer interaction. The room provided a platform for investigating the implications of ubiquitous computing on life in the home, and the future of user interface design. I am particularly interested in the symbiotic relationship between architectural design, computational sensing design, AI, and user interface design. How will fusing ideas from these fields enable new devices and spaces that impact our lives in meaningful ways in the future?

quakercolor.gif (5164 bytes)Recognizing multi-agent action
(circa 1999)

The goal of this research was to develop algorithms that integrate contextual domain knowledge and computer vision feature detection to interpret and describe events in sequences of video. In particular, the algorithms must handle scenes with multiple people interacting with each other. To demonstrate how this can be done, I designed a system that automatically labels actions and states in a football play such as "passing" "blocking" and "R34 run play" using probabilistic models.

kidsroom.gif (26688 bytes)The KidsRoom
(circa 1997)

The KidsRoom was an interactive, narrative playspace for children. It was one of the first interactive environments to handle multiple people interacting with each other.  The actions of the children, who were in a real bedroom overlooked by several video cameras, were interpreted by computer vision tracking and action recognition algorithms. A narrated story encouraged children to move around the room and established context for the sensing algorithms. This created a unique interactive experience. A commercialized version of the system developed by NearLife for the British Millennium Dome won an interactive media design award from Id Magazine.

track-rt.gif (1597 bytes)Real-time tracking
(circa 1997)

This work, developed with Jim Davis, extended the idea of context-sensitive tracking to a real-time domain and was used extensively in the KidsRoom.   Multiple objects are tracked in real-time from an overhead view from a video camera.

cw-track.gif (37980 bytes)Context-based tracking
(circa 1994)

This work explored the use of contextual information for tracking of multiple, interacting objects simultaneously.  The goal was to automatically track football players in high-cam video of a football play. The low-resolution, colliding, blob-like players pose a problem for most conventional tracking algorithms, but knowledge about the rules of football and likely events in time can be used to resolve some tracking ambiguities.

kidsl.gif (12068 bytes)kidsr.gif (12194 bytes)

Large-occlusion stereo vision
(circa 1993)

Real stereo scenes with people typically contain large occluded regions. This work developed a computational stereo algorithm that is unaffected by the presence of large occlusion regions, permitting more accurate recovery of occlusion boundaries.

Select publications  (Full (but possibly out of date) CV)

    B.C. Batch, C. Tyson, J. Bagwell, L. Corsino, S. Intille, P-H. Lin, T. Lazenka, G. Bennett, H.B. Bosworth, C. Voils, S. Grambow, A. Sutton, R. Bordogna, M. Pangborn, J. Schwager, K. Pilewski, C. Caccia, J. Burroughs, L.P. Svetkey, "Weight loss intervention for young adults using mobile technology: Design and rationale of a randomized controlled trial - Cell phone Intervention for You (CITY)," Contemporary Clinical Trials, in press (2014).

    N. Saranummi, D. Spruijt-Metz, S.S. Intille, I. Korhonen, W.J. Nilsen, and M. Pavel, "Moving the science of behavior change into the 21st Century: Novel solutions to prevent disease and promote health," IEEE Pulse, 4(5), 2013.

    S.S. Intille, "Closing the Evaluation Gap in UbiHealth Research," IEEE Pervasive Computing, 12(2), pp 76-79, 2013.

    G.F. Dunton, E. Dzubur, K. Kawabata, B. Yanez, B. Bo, and S. Intille , "Development of a smartphone application to measure physical activity using sensor-assisted self-report," Frontiers in Public Health (Public Health Education and Promotion), in press, 2013.

    A. Mannini, S.S. Intille, M. Rosenberger, A.M. Sabatini, and W.L. Haskell, "Activity recognition using a single accelerometer placed at the wrist or ankle", Medicine & Science in Sports & Exercise, in press (2013).

    Y. Liao, J. Wolch, S. Intille, M.A. Pentz, M. A., and G.F. Dunton, "Understanding the physical and social contexts of children's non-school sedentary behavior: An Ecological Momentary Assessment study," Journal of Physical Activity & Health, Mar 14 [Epub ahead of print], 2013.

    G.F. Dunton, K. Kawabata, S. Intille, J. Wolch, and M. Pentz, "Assessing the social and physical contexts of children's physical activity: An Ecological Momentary Assessment study," American Journal of Health Promotion, 26(3), 135-42, 2012.

    G.F. Dunton, Y. Liao, K, Kawabata, and S. Intille, "Momentary assessment of adults' physical activity and sedentary behavior: Feasibility and validity," Frontiers in Movement Science and Sport Psychology, 3:260, (2012).

    M.E. Rosenberger, W.L. Haskell, F. Albinali, S. Mota, J. Nawyn, and S. Intille, "Estimating activity and sedentary behavior from an accelerometer on the hip or wrist," Medicine Science in Sports and Exercise, Dec 14 (EPub ahead of print), 2012.

    C.E. Rodes, S.N. Chillrud, W.L. Haskell, S.S. Intille, F. Albinali, M.E. Rosenberger, "Predicting adult pulmonary ventilation volume and wearing compliance by on-board accelerometry during personal level exposure assessments," Atmospheric Environment, 46: 126-137, 2012.

    S.S. Intille, J. Lester, J.F. Sallis, and G. Duncan, "New horizons in sensor development," Medicine & Science in Sports & Exercise, 44(1 Suppl 1):S24-31, 2012.

    G.F Dunton, S.S. Intille, J. Wolch, and M.A. Pentz, "Children's perceptions of physical activity environments captured through ecological momentary assessment: a validation study," Preventive Medicine, 55(2): 119-21, 2012.

    G.F.Dunton, S.S.Intille, J. Wolch, and M.A. Pentz, "Investigating the impact of a smart growth community on the contexts of children's physical activity using Ecological Momentary Assessment," Health & Place, 18: 76-84, 2012.

    F. Albinali, M.S. Goodwin, and S. Intille, "Detecting stereotypical motor movements in the classroom using accelerometry and pattern recognition algorithms," Pervasive and Mobile Computing, 8(1): 103-114, 2012.

    M.S. Goodwin, F. Albinali, S.S. Intille, and W.F. Velicer, "Automated detection of stereotypical motor movements," Journal of Autism & Developmental Disorders, 41(6), 770-82, 2011.

    S.S. Intille “Context-sensitive EMA on sensor-enabled mobile phones,” in Handbook of Research Methods for Studying Daily Life, M.R. Mehl and T.S. Conner, Eds.: Guilford Press, 2011.

    S.S. Intille, F. Albinali, S. Mota, B. Kuris, P. Botana, and W.L. Haskell, “Design of a wearable physical activity monitoring system using mobile phones and accelerometers,” in Proc. of the IEEE Engineering in Medicine and Biology Society Meeting (EMBC), 2011, pp. 3636 – 3639.

    G.F. Dunton, Y. Liao, S. Intille, J. Wolch, M. Pentz, "Physical and social contextual influences on children's leisure-time physical activity: An Ecological Momentary Assessment study," Journal of Physical Activity and Health, 8(Suppl 1):S103-8, 2011.

    G.F. Dunton, Y. Liao, S.S. Intille, D. Spruijt-Metz, and M. Pentz, "Investigating children's physical activity and sedentary behavior using ecological momentary assessment with mobile phones," Obesity (Silver Spring). 2011 Jun;19(6):1205-12. PMID: 21164502.

    F. Albinali, S. S. Intille, W. Haskell, and M. Rosenberger, "Using wearable activity type detection to improve physical activity energy expenditure estimation," in Proceedings of the 12th International Conference on Ubiquitous Computing, New York: ACM Press, pp. 311-320, 2010. [Abstract] [PDF]

    S. S. Intille, P. Kaushik, and R. Rockinson, "Deploying context-aware health technology at home: Human-centric challenges," in Human-Centric Interfaces for Ambient Intelligence, H. Aghajan, J. C. A. Augusto, and R. Delgado, Eds.: Elsevier, 2009. [Abstract] [email to request a PDF]

    M. Gupta, S. S. Intille, and K. Larson, "Adding GPS-control to traditional thermostats: An exploration of potential energy savings and design challenges," Proceedings of the Seventh International Conference on Pervasive Computing, pp. 95-114, 2009. [Abstract] [PDF]

    K. Patrick, W. G. Griswold, F. Raab, and S. S. Intille, "Health and the mobile phone," American Journal of Preventive Medicine, vol. 35, pp. 177-181, 2008.
    [Abstract] [email to request a PDF]

    P. Kaushik, S. S. Intille, and K. Larson, "User-adaptive reminders for home-based medical tasks. A case study," Methods of Information in Medicine, vol. 47, pp. 203-7, 2008. Adapted from: P. Kaushik, S. S. Intille, and K. Larson, "Observations from a case study on user adaptive reminders for medication adherence," in Proceedings of Pervasive Health, 2008. [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, and K. Larson, "Portable wireless sensors for object usage sensing in the home: Challenges and practicalities," in Proceedings of the European Ambient Intelligence Conference. vol. LNCS 4794 Berlin Heidelberg: Springer-Verlag 2007, pp. 19-37. [Abstract] [PDF]

    J. S. Beaudin, S. S. Intille, E. Munguia Tapia, R. Rockinson, and M. Morris, "Context-sensitive microlearning of foreign language vocabulary on a mobile device," in Proceedings of the European Ambient Intelligence Conference. vol. LNCS 4794 Berlin Heidelberg: Springer-Verlag 2007, pp. 55-72. [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, W. Haskell, K. Larson, J. Wright, A. King, and R. Friedman, "Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor " in Proceedings of the International Symposium on Wearable Computers: IEEE Press, 2007.
    [Abstract] [PDF] 

    B. Logan, J. Healey, Matthai Philipose, E. Munguia Tapia, and S. Intille, "A long-term evaluation of sensing modalities for activity recognition," in Proceedings of the International Conference on Ubiquitous Computing, vol. LNCS 4717. Berlin Heidelberg: Springer-Verlag, 2007, pp. 483–500.
    [Abstract] [PDF] 

    M.S. Goodwin, W.F. Velicer, and S.S. Intille, "Telemetric monitoring in the behavior sciences," Behavior Research Methods, 40(1), pp. 328-341, 2008.

    J.S. Beaudin, S. S. Intille, and M. Morris, "MicroLearning on a Mobile Device," in Proceedings of UbiComp 2006 Extended Abstracts (Demo Program), 2006.
    [Abstract] [PDF] 

    Beaudin, J.S., S.S. Intille, and M.E. Morris, "To track or not to track: User reaction to concepts in longitudinal health monitoring." Journal of Medical Internet Research, 2006. 8(4): p. 29.
    [HTML] [PDF]

    S. Intille, J. Herigon, W. Haskell, A. King, J. A. Wright, and R. F. Friedman, "Intensity levels of occupational activities related to hotel housekeeping in a sample of minority women," in Proceedings of the Annual Meeting of the International Society of Behavioral Nutrition and Physical Activity, 2006.
    [Abstract] [Poster] 

    J. Nawyn, S. S. Intille, and K. Larson, "Embedding behavior modification strategies into consumer electronic devices," in Proceedings of UbiComp 2006. vol. LNCS 4206, P. Dourish and A. Friday, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 297-314.
    [Abstract] [PDF

    J. Nawyn, S. S. Intille, and K. Larson, "Embedding behavior modification strategies into a consumer electronics device [video]," in Proceedings of UbiComp 2006 Extended Abstracts (Video Program), 2006.
    [Video] 

    S.S. Intille, "The goal: smart people, not smart homes," in Proceedings of the International Conference on Smart Homes and Health Telematics, IOS Press, 2006.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, E. Munguia Tapia, J. Beaudin, P. Kaushik, J. Nawyn, and R. Rockinson, "Using a live-in laboratory for ubiquitous computing research," in Proceedings of PERVASIVE 2006, vol. LNCS 3968, K. P. Fishkin, B. Schiele, P. Nixon, and A. Quigley, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 349-365.
    [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, L. Lopez, and K. Larson, "The design of a portable kit of wireless sensors for naturalistic data collection," in Proceedings of PERVASIVE 2006, vol. LNCS 3968, K. P. Fishkin, B. Schiele, P. Nixon, and A. Quigley, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 117-134.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, J. Beaudin, E. Munguia Tapia, P. Kaushik, J. Nawyn, and T.J. McLeish, "The PlaceLab: a live-in laboratory for pervasive computing research (Video)," in Proceedings of Pervasive 2005 Video Program, May, 2005.
    [Abstract] [PDF] [Video (334 MB DIVX AVI)]

    J. Ho and S. S. Intille, "Using context-aware computing to reduce the perceived burden of interruptions from mobile devices," in Proceedings of CHI 2005 Connect: Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2005, pp. 909 - 918.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, J. S. Beaudin, J. Nawyn, E. Munguia Tapia, and P. Kaushik, "A living laboratory for the design and evaluation of ubiquitous computing interfaces," in Extended Abstracts of the 2005 Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2005, pp. 1941 - 1944.
    [Abstract] [PDF] 

    M. Morris, S. S. Intille, and J. S. Beaudin, "Embedded Assessment: overcoming barriers to early detection with pervasive computing," in Proceedings of PERVASIVE 2005, H. W. Gellersen, R. Want, and A. Schmidt, Eds. Berlin Heidelberg: Springer-Verlag, 2005, pp. 333-346.
    [Abstract] [PDF] 

    K. Patrick, S. Intille, and M. Zabinski, "An ecological framework for cancer communication: implications for research," Journal of Medical Internet Research, 7(3): e23, 2005.
    [Abstract] [Online article]

    S. S. Intille, "A new research challenge: persuasive technology to motivate healthy aging," Transactions on Information Technology in Biomedicine, vol. 8(3), pp. 235-237, 2004. 
    [Abstract] [PDF]

    S. S. Intille, "Ubiquitous computing technology for just-in-time motivation of behavior change," in Proceedings of Medinfo. vol. 11(Pt) 2, 2004, pp. 1434-7.

    S. M. Nusser, S. S. Intille, and R. Maitra, "Emerging technologies and next generation intensive longitudinal data collection," in Models for Intensive Longitudinal Data, T. Walls and J.L. Schafer, Eds. New York: Oxford, 2006.  
    [Abstract]

    S. S. Intille, "Technological innovations enabling automatic, context-sensitive ecological momentary assessment," in The Science of Real-Time Data Capture: Self-Report in Health Research, A. A. Stone, S. Shiffman, A. A.A., and L. Nebeling, Eds.: Oxford University Press, 2005. In press.
    [Abstract]

    S.S. Intille, E. Munguia Tapia, and L. Bao, "Real-Time Physical Activity Recognition Using Multiple Wireless Accelerometers". Abstract presented at the Scientific Meeting on Objective Monitoring of Physical Activity: Closing Gaps in the Science of Accelerometry, December, 2004. 

    E. M. Tapia, N. Marmasse, S. S. Intille, and K. Larson, "MITes: Wireless portable sensors for studying behavior," in Proceedings of Extended Abstracts Ubicomp 2004: Ubiquitous Computing, 2004.
    [Abstract] [PDF]

    K. Larson, S. Intille, T. J. McLeish, J. Beaudin, and R. E. Williams, "Open source building — reinventing places of living," BT Technology Journal, vol. 22, pp. 187-200, 2004.
    [Abstract] [PDF]

    J. S. Beaudin, E. Munguia Tapia, and S. S. Intille, "Lessons learned using ubiquitous sensors for data collection in real homes," in Extended Abstracts of the 2004 Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2004, pp. 1359-1362.
    [Abstract] [PDF]

    L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in Proceedings of PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin Heidelberg: Springer-Verlag, 2004, pp. 1-17.
    [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, and K. Larson, "Activity recognition in the home setting using simple and ubiquitous sensors," in Proceedings of PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin Heidelberg: Springer-Verlag, 2004, pp. 158-175.
    [Abstract] [PDF

    S. S. Intille, L. Bao, E. Munguia Tapia, and J. Rondoni, "Acquiring in situ training data for context-aware ubiquitous computing applications," in Proceedings of CHI 2004 Connect: Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2004, pp. 1-9.
    [Abstract] [PDF]

    S. S. Intille, "Ubiquitous Computing Technology for Just-in-Time Motivation of Behavior Change (Position Paper)," in Proceedings of the UbiHealth Workshop, 2003.
    [PDF]  

    S. S. Intille, K. Larson, and E. M. Tapia, "Designing and evaluating technology for independent aging in the home," in Proceedings of the International Conference on Aging, Disability and Independence, 2003.
    [Abstract] [PDF] 

    E. Munguia Tapia, S.S. Intille, J. Rebula,  S. Stoddard. Concept and Partial Prototype Video: Ubiquitous Video Communication with the Perception of Eye Contact. Proceedings of UBICOMP 2003 Video Program, 2003.  
    [Abstract] [PDF] [Video (MPEG v.1 AVI)]

    S.S. Intille, V. Lee, and C. Pinhanez. Ubiquitous Computing in the Living Room: Concept Sketches and an Implementation of a Persistent User Interface. Proceedings of UBICOMP 2003 Video Program, 2003. 
    [Abstract] [PDF] [Video (MPEG v.1 AVI)]

    S.S. Intille, E. Munguia Tapia J. Rondoni, J. Beaudin, C. Kukla, S. Agarwal, and L. Bao, "Tools for studying behavior and technology in natural settings," in Proceedings of UBICOMP 2003: Ubiquitous Computing, vol. LNCS 2864, A.K. Dey, A. Schmidt, and J.F. McCarthy, Eds. Berlin Heidelberg: Springer, 2003, pp. 157-174.
    [Abstract] [PDF]

    S.S. Intille, K. Larson. Designing and Evaluating Supportive Technology for Homes. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2003, IEEE Press. 
    [Abstract]  [PDF]

    S. S. Intille, C. Kukla, R. Farzanfar, and W. Bakr, "Just-in-time technology to encourage incremental, dietary behavior change," in Proceedings of the AMIA 2003 Symposium: Wiley, 2003.
    [Abstract] [PDF]

    S. S. Intille, J. Rondoni, C. Kukla, I. Anacona, and L. Bao, "A context-aware experience sampling tool," in Proceedings of CHI '03 Extended Abstracts on Human Factors in Computing Systems. New York, NY: ACM Press, 2003, pp. 972-973.
    [Abstract] [PDF]

    S.S. Intille and A.M. Intille, "New challenges for privacy law: wearable computers that create electronic digital diaries," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2003.
    [Abstract] [PDF]

    S. S. Intille, "Change blind information display for ubiquitous computing environments," in Proceedings of the UbiComp 2002: Ubiquitous Computing, vol. LNCS 2498, G. Borriello and L. E. Holmquist, Eds. Berlin: Springer-Verlag, 2002, pp. 91-106.
    [Abstract] [PDF]

    S. S. Intille, "Designing a home of the future," IEEE Pervasive Computing, vol. April-June, pp. 80-86, 2002.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, and C. Kukla, "Just-in-time context-sensitive questioning for preventative health care," in Proceedings of the AAAI 2002 Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, AAAI Technical Report WS-02-02. Menlo Park, CA: AAAI Press, 2002.
    [Abstract] [PDF]

    S. S. Intille, C. Kukla, and X. Ma, "Eliciting user preferences using image-based experience sampling and reflection," in Proceedings of the CHI '02 Extended Abstracts on Human Factors in Computing Systems. New York, NY: ACM Press, 2002, pp. 738-739.
    [Abstract] [PDF]

    S. S. Intille and A. F. Bobick, "Recognizing planned, multi-person action," Computer Vision and Image Understanding (1077-3142), vol. 81, pp. 414-445, 2001.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille, C. Kukla, B. Stigge, and L. Bonanni, "Merging the physical and digital in ubiquitous computing environments," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2001.
    [Abstract] [PDF]

    R. Khalaf and S. S. Intille, "Improving multiple people tracking using temporal consistency," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2001.
    [Abstract] [PDF]

    C. S. Pinhanez, J. W. Davis, S. S. Intille, M. Johnson, A. Wilson, A. F. Bobick, and B. Blumberg, "Physically Interactive Story Environments," IBM Systems Journal, vol. 39, pp. 438-455, 2000.
    [Abstract] [Word] [ASCII] [Compressed Postscript] [PDF]

    A. Bobick, S. S. Intille, J. W. Davis, F. Baird, C. S. Pinhanez, L. W. Campbell, Y. Ivanov, A. Schutte, and A. Wilson, "The KidsRoom (sidebar)," Communications of the ACM, vol. 43, pp. 60-61, 2000.
    [PDF]

    S. S. Intille, "Visual Recognition of Multi-Agent Action," Massachusetts Institute of Technology, Cambridge, MA, Ph.D. thesis 1999.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille and A. F. Bobick, "A framework for recognizing multi-agent action from visual evidence," in Proceedings of the Sixteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press, 1999, pp. 518-525.
    [Abstract] [Compressed Postscript] [PDF]

    A. F. Bobick, S. S. Intille, J. W. Davis, F. Baird, L. W. Campbell, Y. Ivanov, C. S. Pinhanez, A. Schütte, and A. Wilson, "The KidsRoom: A perceptually-based interactive and immersive story environment," PRESENCE: Teleoperators and Virtual Environments, vol. 8, pp. 367-391, 1999.
    [Abstract] [Compressed Postscript] [PDF]

    A.F. Bobick and S.S. Intille, "Large occlusion stereo," International Journal of Computer Vision, vol. 33, pp. 181-200, 1999.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille, J. Davis, and A. Bobick, "Real-time closed-world tracking," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition: IEEE Press, 1997, pp. 697-703.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille and A. F. Bobick, "Closed-world tracking," in Proceedings of the Fifth International Conference on Computer Vision: IEEE Press, 1995, pp. 672-678.
    [Abstract] [Compressed Postscript] [PDF]

Education

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

Lab affiliations

mHealth Lab
September 2010 - present

House_n
September 1999 - 2012

The MIT Media Laboratory, Vision and Modeling Group
1992-1999

The UPenn GRASP Laboratory
1991-1992

Previous courses

Computer/Human Interaction (CS 5340) (Spring 2012)

Advances in Measuring Behavior (Fall 2011, Spring 2013)

Mobile Application Development (Summer 2011, Fall 2012, Spring 2013, Fall 2013)

4.208 Designing Persuasive Environments and Technologies
(Fall 2004, Fall 2003, Fall 2002)

Building Interactive Environments (with C.S. Pinhanez) 
(SIGGRAPH 2003 San Diego, SIGGRAPH 2002 San Antonio) 

4.208 User Interface Design Studio for Future Computing Environments (Fall 2001, Fall 2000)

4.184 Home of the Future / Community of the Future (with K. Larson)
(Fall 1999)

IAP events

Visions of the Future: Screening and Making Concept Videos
(IAP 2005, IAP 2004)

Movie Making: Inventing the Future of Ubiquitous Computing
(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
(IAP 2000)

Advice for students 

I recommend that all my students or potential students read the following materials: Stephen's Thesis Development and Writing Tips 

Grants

See my CV...

Other interests

Entrepreneurial activities, cooking, hiking and other outdoor activities, canine clicker training, interactive storytelling, exploring Boston and surroundings. 

A favorite book

The Adventures of Sherlock Holmes, A.C. Doyle

Most wishes to have dinner with

Benjamin Franklin


"The best way to predict the future is to invent it." -Alan Kay

Last modified: February, 2014