Matthew L. Lee
I'm a fifth year PhD student at the Human-Computer Interaction Institute at Carnegie Mellon. My research focuses on making sense of large amounts of sensor data, particularly to improve the quality of life of older adults and assist people with cognitive and physical disabilities. My current research project is focused on investigating how to make sense of data from embedded assessment sensing technology to track how well older adults carry out everyday activities important for independence. Based on the needs of stakeholders (older adults, their family caregivers, and health care professionals), I will develop systems that will create salient summaries of the data to assist the user in managing awareness of changes in functional abilities.
My past projects include designing MemExerciser, a lifelogging system to help people with Alzheimer's disease remember their experiences better and reduce the burden on their caregivers. I am advised by Professor Anind Dey.
I graduated from the University of California at Berkeley with a B.A., double majoring in Computer Science and Cognitive Science. Prior to graduate school, I worked at Oracle Corporation developing new Web 2.0 frameworks based on the Java Server Faces standard. In the Fall of 2006, I interned at Microsoft Research Cambridge in the Computer Mediated Living Group.
Lifelogging Memory Aid for People with Episodic Memory Impairment.
An experience capture and access system designed specifically for individuals with episodic memory impairment such as those with Alzheimer's disease. The system records the user's personal experiences with wearable ubiquitous sensors, leverages both automated content/context analysis as well as the expertise of the human caregiver to highlight the most salient memory cues, and presents the cues in a way that enables people with Alzheimer's to engage in memory-exercising reminiscence of recent meaningful experiences. (more)
Papers:
Lee, M.L. and Dey, A.K. 2008. Lifelogging Memory Appliance
for People with Episodic Memory Impairment. Proceedings of the 10th
International Conference on Ubiquitous Computing,
44-53. (pdf)
Lifelogging technologies with ubiquitous embedded and wearable sensors have the ability to capture a copious (often an even overwhelmingly large) amount of data from people's lives. These data are helpful as memory cues for people with episodic memory impairment. However, reviewing all the data is neither necessary nor feasible for people with cognitive impairments. This field study uses a photo-sorting technique to identify what types of data are most useful in evoking triggering memory recollection, a feeling of mentally reliving the original experience. The results of the study help designers of lifelogging systems to produce salient summaries of cues from life logs.
Papers:
An ethnographic field study of the memory practices of people with Alzheimer's disease
This ethnographic-style study explore what people with Alzheimer's disease struggle with the most: the first symptom of the disease, episodic memory loss. By following a process of shadowing and interviewing community-dwelling individuals with Alzheimer's disease and their caregivers, this study identified what people most often forget, what mechanisms they use to compensate for their memory loss, and the breakdowns that occur as a result of their memory loss.
Papers:
Studying the appropriation of online communities for coordinating disaster relief after Hurricane Katrina.
This study investigated how people across the United States used online forums, blogs, and personal websites to coordinate the donation of goods to Hurricane Katrina victims. In the months immediately following the hurricane, personal blogs with their centralized authority structure was more effective at coordinating donations but were not self-sustaining without the authority of the site owner. Forums with their de-centralized authority structure had a greater amount of off topic posts but lasted longer because it relied on the community rather than specific individuals.
Publications:
Torrey, C., Burke, M., Lee, M., Dey, A., Fussell, S., and Kiesler, S. Approaches to
Authority in Online Disaster Relief Communities after Hurricane Katrina.
Email: matthew.lee @ cs . cmu . edu
Curriculum Vitae (pdf)
Address:
Matthew L. Lee
HCI Institute, Carnegie Mellon
5000 Forbes Avenue
Pittsburgh, PA 15213
Updated: Oct 21, 2009