Title:
Decision support for caregivers through embedded capture and access
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 | |
relation.isAdvisorOfPublication | a9e4f620-85d6-4fb9-8851-8b0c3a0e66b4 | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
relation.isOrgUnitOfPublication | aac3f010-e629-4d08-8276-81143eeaf5cc |
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