Title:
The ClockMe system: computer-assisted screening tool for dementia  

Simple item page
dc.contributor.advisor Do, Ellen Yi-Luen
dc.contributor.author Kim, Hyungsin en_US
dc.contributor.committeeMember Cellar, Janet
dc.contributor.committeeMember Foley, James
dc.contributor.committeeMember Guzdial, Mark
dc.contributor.committeeMember Jacobson, J. Michael
dc.contributor.department Computing en_US
dc.date.accessioned 2013-06-15T02:20:34Z
dc.date.available 2013-06-15T02:20:34Z
dc.date.issued 2013-01-03 en_US
dc.description.abstract Due to the fastest growing senior population, age-related cognitive impairments, including Alzheimer's disease, are becoming among the most common diseases in the United States. Currently, prevention through delay is considered the best way to tackle Alzheimer's disease and related dementia, as there is no known cure for those diseases. Early detection is crucial, in that screening individuals with Mild Cognitive Impairment may delay its onset and progression. For my dissertation work, I investigate how computing technologies can help medical practitioners detect and monitor cognitive impairment due to dementia, and I develop a computerized sketch-based screening tool. In this dissertation, I present the design, implementation, and evaluation of the ClockMe System, a computerized Clock Drawing Test. The traditional Clock Drawing Test (CDT) is a rapid and reliable instrument for the early detection of cognitive dysfunction. Neurologists often notice missing or extra numbers in the clock drawings of people with cognitive impairments and use scoring criteria to make a diagnosis and treatment plan. The ClockMe System includes two different applications - (1) the ClockReader for the patients who take the Clock Drawing Test and (2) the ClockAnalyzer for clinicians who use the CDT results to make a diagnosis or to monitor patients. The contributions of this research are (1) the creation of a computerized screening tool to help clinicians identify cognitive impairment through a more accessible and quick-and-easy screening process; (2) the delivery of computer-collected novel behavioral data, which may offer new insights and a new understanding of a patient's cognition; (3) an in-depth understanding of different stakeholders and the identification of their common user needs and desires within a complicated healthcare workflow system; and (4) the triangulation of multiple data collection methods such as ethnographical observations, interviews, focus group meetings, and quantitative data from a user survey in a real-world deployment study. en_US
dc.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/47516
dc.publisher Georgia Institute of Technology en_US
dc.subject Dementia screening en_US
dc.subject Human centered computing en_US
dc.subject Human computer interaction en_US
dc.subject Computerized screening tool en_US
dc.subject Information visualization en_US
dc.subject Patient centered design en_US
dc.subject Graphical user interfaces en_US
dc.subject User-centered system design en_US
dc.subject Usability en_US
dc.subject.lcsh User interfaces (Computer systems)
dc.subject.lcsh Graphical user interfaces (Computer systems)
dc.subject.lcsh Medical screening
dc.subject.lcsh Cognition Testing
dc.title The ClockMe system: computer-assisted screening tool for dementia   en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename College of Computing
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
kim_hyungsin_201305_phd.pdf
Size:
7.59 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Theses and Dissertations