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Colloquium - Lee

Technological Intervention for Memory Impairment
Carnegie Mellon HCI Institute
6/16/2008
11:00am-12:00pm

People with episodic memory impairment (EMI) such as those with Alzheimer's disease struggle with remembering their recent experiences, resulting in a loss of the sense of self and even depression. Their family caregivers must provide the cognitive support necessary for aging in place and can themselves develop burnout or depression, leading to a poorer quality of care. I have conducted a series of field studies of people with early stage Alzheimer's disease to 1) identify opportunity areas for assistive technological interventions for people with EMI and their caregivers and 2) to better understand how to provide good memory cues for people with EMI to leverage their existing memory abilities for remembering recent experiences. From these findings, I generated design guidelines for cognitive assistive technologies to aid episodic memory. This led me to the next stage of my research -- the design and development of a memory aid system that uses lifelogging to capture cues from people's personal experiences and presents them in a way that people with memory impairments can best engage in a memory-exercising, recollective experience. I evaluated this system with people with early stage Alzheimer's disease and found that it supported better remembering, greater confidence in their memory abilities, and the less burden on the caregiver than existing caregiver-driven methods of reviewing personal experiences.

Matthew Lee is a third year PhD student at the HCI Institute at Carnegie Mellon. He is advised by Professor Anind Dey. Lee graduated from the University of California, Berkeley with a BA in both cognitive science and computer science. His research focuses on the application of ubiquitous sensing and the extraction the most salient information from streams of rich data to improve the quality of life of individuals with cognitive and physical impairments. His work is part of the Quality of Life Technology Center, a NSF-funded center aimed to support the self-determination of people with reduced functional capabilities.

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