Information Overload : detection and prevention through the usage of consumer neural devices.

Milic, Nash A., 1987-

Information Overload : detection and prevention through the usage of consumer neural devices.

dc.contributor.advisor	Leidner, D. E. (Dorothy E.)
dc.creator	Milic, Nash A., 1987-
dc.date.accessioned	2017-09-28T14:12:27Z
dc.date.available	2017-09-28T14:12:27Z
dc.date.created	2017-08
dc.date.issued	2017-07-06
dc.date.submitted	August 2017
dc.date.updated	2017-09-28T14:12:27Z
dc.description.abstract	Information 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.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2104/10147
dc.language.iso	en
dc.rights.accessrights	Worldwide access.
dc.rights.accessrights	Access changed 1/12/23.
dc.subject	Information overload. Consumer neural device.
dc.title	Information Overload : detection and prevention through the usage of consumer neural devices.
dc.type	Thesis
dc.type.material	text
local.embargo.lift	2022-08-01
local.embargo.terms	2022-08-01
thesis.degree.department	Baylor University. Dept. of Information Systems.
thesis.degree.grantor	Baylor University
thesis.degree.level	Doctoral
thesis.degree.name	Ph.D.