Eye-tracking analysis of user behavior in WWW search

We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain into how users browse the presented abstracts and how they select links for further exploration. Such understanding is valuable for improved interface design, as well as for more accurate interpretations of implicit feedback (e.g. clickthrough) for machine learning. The following presents initial results, focusing on the amount of time spent viewing the presented s, the total number of abstract viewed, as well as measures of how thoroughly searchers evaluate their results set. Categories and Subject Descriptors H.5.2 [User Interfaces]: Evaluation/methodology, H.3.3 [Information Search and Retrieval]: Search process, H.3.5 [Online Information Services]: Web-based services General Terms Human Factors, Experimentation, Measurement Keywords Eye-Tracking, Implicit Feedback, WWW Search

• Type: Conference
• Year: 2004
• Where: SIGIR
• Authors: Laura A. Granka, Thorsten Joachims, Geri Gay
• Keywords: Implicit Feedback, SIGIR 2004, Www Search, WWW Search Engine