Stephen Intille
Professor, Interdisciplinary with Bouvé College of Health Sciences
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Research interests
- Personal health informatics
- Interactive, mobile sensing
- Machine learning
- Behavioral theory and measurement
Education
- PhD in Media Arts and Sciences, Massachusetts Institute of Technology
- SM in Media Arts and Sciences, Massachusetts Institute of Technology
- BSE in Computer Science and Engineering, University of Pennsylvania
Biography
Stephen Intille is a professor in the Khoury College of Computer Sciences and the Bouvé College of Health Sciences at Northeastern University, based in Boston.
Intille's research focuses on the development of novel health care technologies that incorporate ideas from ubiquitous computing, user-interface design, pattern recognition, behavioral science, and preventive medicine. He is interested in human–computer interface technologies that measure and motivate health-related behaviors, and especially how algorithms that recognize everyday activity can drive the development of interactive technologies that support healthy aging and well-being. Intille also analyzes mobile technologies that permit longitudinal measurement of health behaviors and areas of human activity.
Intille has published research on computational stereo depth recovery, real-time and multi-agent tracking, activity recognition, perceptually-based interactive environments, and technology for health care. He has been the principal investigator on sensor-enabled health technology grants from the NSF, the NIH, private foundations, and industry.
In 1999, Intille received his PhD from MIT, where he worked on computational vision at the MIT Media Lab for five years. After ten years as technology director of the House_n Consortium at MIT, Intille joined Northeastern in 2010 to establish a new interdisciplinary PhD program in personal health informatics.
Recent publications
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[TEST-FEB13]-Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults
Citation: Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen S. Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang. (2024). Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 8, 73:1-73:35. https://doi.org/10.1145/3659625 -
[TEST-FEB13]-Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain
Citation: Jixin Li, Aditya Ponnada, Wei-Lin Wang, Genevieve F. Dunton, Stephen S. Intille. (2024). Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 8, 166:1-166:32. https://doi.org/10.1145/3699735 -
[TEST-FEB13]-Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment
Citation: Ha Le, Rithika Lakshminarayanan, Jixin Li, Varun Mishra , Stephen S. Intille. (2024). Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 8, 111:1-111:35. https://doi.org/10.1145/3678584