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Alzheimer's disease impairs episodic memory and subtly and progressively robs people of their ability to remember their recent experiences. In this paper, we describe two studies that lead to a better understanding of how caregivers use cues to support episodic memory impairment and what types of cues are best for supporting recollection. We also show how(More)
—Sensing systems embedded in the homes of elders have the potential to monitor individuals for early signs of functional and cognitive decline. However, it is not clear how the data collected from these embedded assessment systems can be useful for elders to support awareness and for their doctors to make better diagnoses. We conduct a concept validation of(More)
Lifelogging technologies have the potential to provide memory cues for people who struggle with episodic memory impairment (EMI). These memory cues enable the recollection of significant experiences, which is important for people with EMI to regain a sense of normalcy in their lives. However, lifelogging technologies often collect an overwhelmingly large(More)
Older adults often struggle with maintaining self-aware of their ability to carry out everyday activities important for independence. Unobtrusive sensors embedded in the home can monitor how older adults interact with objects around the home and can provide objective accounts of behaviors to support self-awareness. In this paper, we describe the design and(More)
The Internet is widely valued for distributing control over information to a lateral network of individuals, but it is not clear how these networks can most effectively organize themselves. This paper describes the distributed networks of volunteers that emerged online following Hurricane Katrina. Online communities responded to the disaster by facilitating(More)
Older adults often find it difficult to keep track of their cognitive and functional abilities required for remaining independent in their homes. Healthcare providers need objective, timely, and ecologically valid information about their patient’s behaviors at home for assessing their patient’s condition and whether behavioral problems such as non-adherence(More)
Blind and visually-impaired people cannot access essential information in the form of written text in our environment (e.g., on restaurant menus, street signs, door labels, product names and instructions, expiration dates). In this paper, we present and evaluate a mobile text-recognition system capable of extracting written information from a wide variety(More)
We designed a lifelogging system to assist people with episodic memory impairment (EMI) to reminisce about recent experiences and reduce the burden on their caregivers. Our system uses a mobile passive capture approach so that the person with EMI does not have to remember to initiate capture. Our system leverages both automated content and context analysis(More)