Using eye-tracking with dynamic areas of interest for analyzing interactive information retrieval

Authors:
Vu Tuan Tran;Norbert Fuhr
Affiliations:
University of Duisburg-Essen, Duisburg, Germany;University of Duisburg-Essen, Duisburg, Germany
Venue:
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Year:
2012

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Abstract

Based on a new framework for capturing dynamic areas of interest in eye-tracking, we model the user search process as a Markov-chain. The analysis indicates possible system improvements and yields parameter estimates for the Interactive Probability Ranking Principle (IPRP).