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

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Doctoral

Grantor

Baylor University.

Year dc:date.issued

2017

Author dc:creator

• Milić, Nebojša A., 1987-

Advisor dc:contributor.advisor

• Leidner, D. E. (Dorothy E.)

• Information overload.
• Consumer neural device.

Statement dc:rights

• Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/10147

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/10147