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dc.contributor.advisorLeidner, D. E. (Dorothy E.)
dc.creatorMilic, Nash A., 1987-
dc.date.accessioned2017-09-28T14:12:27Z
dc.date.available2017-09-28T14:12:27Z
dc.date.created2017-08
dc.date.issued2017-07-06
dc.date.submittedAugust 2017
dc.identifier.urihttp://hdl.handle.net/2104/10147
dc.description.abstractInformation Overload is a state in which individuals have a vast amount of information that is readily available, almost instantaneously, without mechanisms to check the validity of the content and the potential risk of misinformation. The Information Age and growing excess of digitally available information amplifies the problem of Information Overload, which handicaps employees’ productivity and well-being.This dissertation employs a non invasive customer oriented EEG sensor to explore how Information Overload affects the human brain, its executive parts and its cognitive functions and develops a theoretical mechanism for understanding the Information Overload phenomena.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectInformation overload. Consumer neural device.
dc.titleInformation Overload : detection and prevention through the usage of consumer neural devices.
dc.typeThesis
dc.rights.accessrightsNo access - Contact librarywebmaster@baylor.edu
dc.type.materialtext
thesis.degree.namePh.D.
thesis.degree.departmentBaylor University. Dept. of Information Systems.
thesis.degree.grantorBaylor University
thesis.degree.levelDoctoral
dc.date.updated2017-09-28T14:12:27Z
local.embargo.lift2022-08-01
local.embargo.terms2022-08-01


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