DocumentCode
1264034
Title
Improving Web usability through visualization
Author
Chi, Ed H.
Author_Institution
Palo Alto Res. Center, CA, USA
Volume
6
Issue
2
fYear
2002
Firstpage
64
Lastpage
71
Abstract
One reason for poor Web site usability is researchers´ lack of understanding about how users surf for information. Predictive Web usage visualizations can help analysts uncover traffic patterns and usability problems. The author describes some of the techniques those in the User Interface Research Group at PARC have developed to visualize content changes, linkage structures, site usage, and so on. He explores how these techniques can be used to identify specific usability problems at large Web sites. As part of his work, he have created a predictive visualization model called Information Scent, in which simulated users help uncover patterns and deficiencies in information accessibility. He demonstrates these techniques using a prototype system called ScentViz to illustrate how Web usage analysis can be enhanced using visualization methods
Keywords
Internet; data mining; data visualisation; electronic publishing; information resources; multimedia computing; Information Scent; ScentViz; content changes; information accessibility; linkage structures; predictive Web usage visualizations; site usage; traffic patterns; usability problems; Clustering algorithms; Couplings; Data analysis; Data mining; Data visualization; Information analysis; Open source software; Predictive models; Software algorithms; Usability;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/4236.991445
Filename
991445
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