Embedded Health Assessment

  Margaret Morris , Intel Research Seattle

Seminar on People, Computers, and Design
Stanford University January 28, 2005

Embedded assessment is a new approach to early disease detection intended to overcome delays that result from clinical practices and individual avoidance. In this approach, health assessment is embedded into the environments of daily life, as well as into applications that help people prevent and compensate for illness. This approach leverages the capabilities of pervasive computing for continuous and contextually sensitive data collection. I will discuss embedded assessment in the context of Intel's Proactive Health. We are currently studying ubiquitous computing platforms for assessing and supporting social health in older adults. These systems include wireless sensor networks to measure social interaction and dynamic visualizations of this data. The behavioral feedback displays, which are in the homes of elders and their caregivers for a month phase of the study, are intended to motivate social interaction and to help participants see the dynamic qualities of psychosocial health. Case examples will be used to illustrate hypotheses and emerging findings. I will conclude with some embedded assessment concepts developed in collaboration with the MIT House_n..

Margaret Morris is a Senior Researcher in the Proactive Health group at Intel. Margie identifies health needs through ethnographic studies and works with an interdisciplinary team to develop and evaluate technology prototypes. Margie is a clinical psychologist with expertise in the study of health outcomes and person-environment relationships. In her health research, she has evaluated the benefit of numerous psychological and medical interventions on mental and physical wellbeing. She has examined the way self-concepts change with age and illness, and developed a novel assessment technique using network modeling to depict the influence of illness on self-schemas. In her person-environment research, Margie has studied the way that people respond to and shape the environment, broadly defined to include ecology, architecture and technology. Her dissertation examined the effect of sunlight on feelings of physical comfort and social connectedness. She has also studied personality expression in professional and personal environments and behavioral adaptation to workspaces. While working in Sapient’s Experience Modeling group, her research focused on technology adoption and consumer experience.


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