Decision support for caregivers through embedded capture and access

dc.contributor.advisor Abowd, Gregory D.
dc.contributor.author Kientz, Julie A. en_US
dc.contributor.committeeMember Ackerman, Mark
dc.contributor.committeeMember Grinter, Rebecca
dc.contributor.committeeMember Mynatt, Elizabeth
dc.contributor.committeeMember Rodden, Thomas
dc.contributor.department Interactive Computing en_US
dc.date.accessioned 2008-09-17T19:25:16Z
dc.date.available 2008-09-17T19:25:16Z
dc.date.issued 2008-07-08 en_US
dc.description.abstract The care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to help ensure that the best care and health monitoring are administered. For my dissertation work, I have explored the use of embedded capture and access to support decision-making for caregivers. Embedded capture and access integrates simple and unobtrusive capture and useful access, including trending information and rich data, into existing work practices. I hypothesized that this technology encourages more frequent access to evidence, increased collaboration amongst caregivers, and decisions made with higher confidence. I have explored this technology through real world deployments of new embedded capture and access applications in two domains. For the first domain, I have developed two applications to support decision-making for caregivers administering therapy to children with autism. The first application, Abaris, supports therapists working with a single child in a home setting, and the second application, Abaris for Schools, extends the ideas of Abaris for use in a school setting for many teachers working with multiple children. The second domain I have explored is decision-making for parents of newborn children. In particular, I developed and evaluated embedded capture and access technology to support parents, pediatricians, and secondary childcare providers in making decisions about whether a child s development is progressing normally in order to promote the earlier detection of developmental delays. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/24612
dc.publisher Georgia Institute of Technology en_US
dc.subject Ubiquitous computing en_US
dc.subject Decision support en_US
dc.subject Caregiving en_US
dc.subject Children en_US
dc.subject Capture and access en_US
dc.subject Autism en_US
dc.subject.lcsh Decision support systems
dc.subject.lcsh Caregivers
dc.subject.lcsh Scanning systems
dc.subject.lcsh Electronic surveillance
dc.subject.lcsh Experience Remote sensing
dc.title Decision support for caregivers through embedded capture and access en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Abowd, Gregory D.
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Interactive Computing
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