Evaluation of Website Usability Using Markov Chains and Latent Semantic Analysis

Muneo KITAJIMA  Noriyuki KARIYA  Hideaki TAKAGI  Yongbing ZHANG  

Publication
IEICE TRANSACTIONS on Communications   Vol.E88-B   No.4   pp.1467-1475
Publication Date: 2005/04/01
Online ISSN: 
DOI: 10.1093/ietcom/e88-b.4.1467
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Internet Technology V)
Category: 
Keyword: 
latent semantic analysis,  Website usability evaluation,  Markov chains,  large-scale information-oriented Websites,  Cognitive Walkthrough for the Web,  

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Summary: 
The development of information/communication technology has made it possible to access substantial amounts of data and retrieve information. However, it is often difficult to locate the desired information, and it becomes necessary to spend considerable time determining how to access specific available data. This paper describes a method to quantitatively evaluate the usability of large-scale information-oriented websites and the effects of improvements made to the site design. This is achieved by utilizing the Cognitive Walkthrough for the Web and website modeling using Markov chains. We further demonstrate that we can greatly improve usability through simple modification of the link structure by applying our approach to an actual informational database website with over 40,000 records.