Towards Inferring Web Page Relevance — An Eye-Tracking Study

Gwizdka, Jacek; Zhang, Yinglong

Permalink

https://hdl.handle.net/2142/73709 Copy

Description

Title

Towards Inferring Web Page Relevance — An Eye-Tracking Study

Author(s)

• Gwizdka, Jacek
• Zhang, Yinglong

Issue Date

2015-03-15

Keyword(s)

• information seeking/retrieval
• human-computer interaction

Abstract

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.

Publisher

iSchools

Series/Report Name or Number

iConference 2015 Proceedings

Type of Resource

text

Language

English

Permalink

http://hdl.handle.net/2142/73709

Copyright and License Information

Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections