Automating computational cognitive modelling techniques to improve the information architecture of large websites

Hdl Handle:
http://hdl.handle.net/10149/301638
Title:
Automating computational cognitive modelling techniques to improve the information architecture of large websites
Authors:
Raza, H. M. (Habib)
Advisors:
van Schaik, P. (Paul)
Publisher:
Teesside University
Issue Date:
Feb-2013
URI:
http://hdl.handle.net/10149/301638
Type:
Thesis or dissertation
Language:
en
Description:
In two studies using computational cognitive modelling techniques, two large websites were analysed and then their information architecture was improved. In each study, a psychological experiment was designed and executed comparing the improved version of the website with the original version. The findings demonstrate that users’ information-retrieval performance of sites with improved information architecture is superior.

Full metadata record

DC FieldValue Language
dc.contributor.advisorvan Schaik, P. (Paul)en_GB
dc.contributor.authorRaza, H. M. (Habib)en_GB
dc.date.accessioned2013-09-16T15:35:15Z-
dc.date.available2013-09-16T15:35:15Z-
dc.date.issued2013-02-
dc.identifier.urihttp://hdl.handle.net/10149/301638-
dc.descriptionIn two studies using computational cognitive modelling techniques, two large websites were analysed and then their information architecture was improved. In each study, a psychological experiment was designed and executed comparing the improved version of the website with the original version. The findings demonstrate that users’ information-retrieval performance of sites with improved information architecture is superior.-
dc.language.isoenen
dc.publisherTeesside Universityen
dc.titleAutomating computational cognitive modelling techniques to improve the information architecture of large websitesen_GB
dc.typeThesis or dissertationen
dc.publisher.departmentTeesside Universityen_GB
dc.type.qualificationnamePhDen
dc.type.qualificationlevelDoctoralen
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