Information foraging in information access environments
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computational models of information scent-following in a very large browsable text collection
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatically evaluating the usability of web sites
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inferring relations between color and emotional dimensions of a web site using bayesian networks
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
AutoCardSorter: designing the information architecture of a web site using latent semantic analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automated semantic elaboration of web site information architecture
Interacting with Computers
Are Ten Participants Enough for Evaluating Information Scent of Web Page Hyperlinks?
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Investigating the Effect of Hyperlink Information Scent on Users' Interaction with a Web Site
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
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In this paper, we present InfoScent Evaluator, a tool that automatically evaluates the semantic appropriateness of the descriptions of hyperlinks in web pages. The tool is based on a theoretical model of users' behavior when engaged in information search tasks, called Information Foraging theory. A textual description of the user's search goal is compared with the textual description of each probable hyperlink, using Latent Semantic Analysis, a statistical technique that evaluates the distance between the two texts. Through this approach the most probable path that the user will follow in order to access the sought web page can be predicted. Thus, the tool can be used to evaluate the web site in terms of appropriateness of hyperlink text and of information architecture. We argue that the presented tool could substantially aid design and evaluation of a web site.