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An eye-tracking approach to the analysis of relevance judgments on the web : the case of Google search engine

Balatsoukas, Panagiotis and Ruthven, Ian (2012) An eye-tracking approach to the analysis of relevance judgments on the web : the case of Google search engine. Journal of the American Society for Information Science and Technology, 63 (9). pp. 1728-1746. ISSN 1532-2890

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Abstract

Eye movement data can provide an in-depth view of human reasoning and the decision-making process, and modern information retrieval (IR) research can benefit from the analysis of this type of data. The aim of this research was to examine the relationship between relevance criteria use and visual behavior in the context of predictive relevance judgments. To address this objective, a multimethod research design was employed that involved observation of participants’ eye movements, talk-aloud protocols, and postsearch interviews. Specifically, the results reported in this article came from the analysis of 281 predictive relevance judgments made by 24 participants using the Google search engine. We present a novel stepwise methodological framework for the analysis of relevance judgments and eye movements on the Web and show new patterns of relevance criteria use during predictive relevance judgment. For example, the findings showed an effect of ranking order and surrogate components (Title, Summary, and URL) on the use of relevance criteria. Also, differences were observed in the cognitive effort spent between very relevant and not relevant judgments. We conclude with the implications of this study for IR research.

Item type: Article
ID code: 41196
Keywords: information seeking, search engines, eye-tracking, judgement, user studies, web, google, search engine, Electronic computers. Computer science, Artificial Intelligence, Software, Computer Networks and Communications, Information Systems, Human-Computer Interaction
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 19 Sep 2012 14:59
    Last modified: 05 Sep 2014 17:46
    URI: http://strathprints.strath.ac.uk/id/eprint/41196

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