Eye tracking in web search tasks: design implications
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
LA-WEB '05 Proceedings of the Third Latin American Web Congress
The influence of task and gender on search and evaluation behavior using Google
Information Processing and Management: an International Journal
What are you looking for?: an eye-tracking study of information usage in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An eye tracking study of the effect of target rank on web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web retrieval: Techniques for the aggregation and selection of queries and answers
International Journal of Intelligent Systems - Aggregation Operators for Information Systems
The good, the bad, and the random: an eye-tracking study of ad quality in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A cost-continuity model for web search
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
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In this paper we present and empirically evaluate a user study using a web search log and eye tracking to measure user behaviour during a query session, that is, a sequence of user queries, results page views and content page views, in order to find a specific piece of information. We evaluate different tasks, in terms of those who found the correct information, and in terms of the query session sequence itself, ordered by SERP (Search Engine Result Page), number and return visits to the results page for the same query. From this we are able to identify a number of different behaviour patterns for successful and unsuccessful users, and different trends in user activity during the query session. We find that a user behaves differently after the first query formulation, when we compare with the second formulation (both queries being for the same information item). The results can be used to improve the user experience in the query session, by recognising when the user is displaying one of the patterns we have found to have a low success rate, and offering contextual help at that point. The results may also contribute to improving the design of the results page.