TY - CONF TI - Towards Inferring Web Page Relevance – An Eye-Tracking Study AU - Gwizdka, Jacek AU - Zhang, Yinglong AB - We present initial results from a project, in which we examined feasibility of inferring web page relevance from eye-tracking data. We conduced a controlled, lab-based Web search experiment, in which participants conducted assigned information search tasks on Wikipedia. We performed analyses of variance as well as employed classification algorithms in order to predict user perceived Web page relevance. Our findings demonstrate that it is feasible to infer document relevance from eye-tracking data on Web pages. The results indicate that eye fixation duration, pupil size and the probability of continuing reading are good predictors of Web page relevance. This work extends results from previous studies of text document search conducted in more constrained environments. C3 - Proceedings of iConference'2015 DA - 2015/03/15/ PY - 2015 DP - www.ideals.illinois.edu SP - 5 LA - English UR - https://www.ideals.illinois.edu/handle/2142/73709 Y2 - 2015/04/01/03:58:53 KW - CLIS2_project KW - CLIS_project KW - Neuro-Information Science KW - Relevance KW - mypub KW - z_IX_lab ER -