Evaluation of an inference network-based retrieval model
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CHI 98 Cconference Summary on Human Factors in Computing Systems
Automatic resource compilation by analyzing hyperlink structure and associated text
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Authoritative sources in a hyperlinked environment
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Link-based and content-based evidential information in a belief network model
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Empirically validated web page design metrics
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Using information scent to model user information needs and actions and the Web
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Separating the swarm: categorization methods for user sessions on the web
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Cognitive walkthrough for the web
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WebEyeMapper and WebLogger: tools for analyzing eye tracking data collected in web-use studies
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According to usability experts, the top user issue for Web sites is difficult navigation. We have been developing auto-mated usability tools for several years, and here we describe a prototype service called InfoScent™ Bloodhound Simula-tor, a push-button navigation analysis system, which auto-matically analyzes the information cues on a Web site to produce a usability report. We further build upon previous algorithms to create a method called Information Scent Absorption Rate, which measures the navigability of a site by computing the probability of users reaching the desired destinations on the site. Lastly, we present a user study involving 244 subjects over 1385 user sessions that show how Bloodhound correlates with real users surfing for in-formation on four Web sites. The hope is that, by using a simulation of user surfing behavior, we can reduce the need for human labor during usability testing, thus dramatically lower testing costs, and ultimately improving user experience. The Bloodhound Project is unique in that we apply a concrete HCI theory directly to a real-world prob-lem. The lack of empirically validated HCI theoretical model has plagued the development of our field, and this is a step toward that direction.