Measuring relevance judgements
Information Processing and Management: an International Journal
A re-examination of relevance: toward a dynamic, situational definition
Information Processing and Management: an International Journal
A cognitive model of document use during a research project. Study I. document selection
Journal of the American Society for Information Science
Users' criteria for relevance evaluation: a cross-situational comparison
Information Processing and Management: an International Journal
From highly relevant to not relevant: examining different regions of relevance
Information Processing and Management: an International Journal
Regions and levels: measuring and mapping users' relevance judgments
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Judgement of information quality and cognitive authority in the Web
Journal of the American Society for Information Science and Technology
Eye tracking in web search tasks: design implications
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
Eye-tracking analysis of user behavior in WWW search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
How users assess web pages for information seeking
Journal of the American Society for Information Science and Technology
The influence of task and gender on search and evaluation behavior using Google
Information Processing and Management: an International Journal
Relevance criteria identified by health information users during Web searches: Research Articles
Journal of the American Society for Information Science and Technology
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
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
Eye-mouse coordination patterns on web search results pages
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Eye tracking and online search: Lessons learned and challenges ahead
Journal of the American Society for Information Science and Technology
Searchers' relevance judgments and criteria in evaluating web pages in a learning style perspective
Proceedings of the second international symposium on Information interaction in context
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An evaluation framework of user interaction with metadata surrogates
Journal of Information Science
Text or pictures? an eyetracking study of how people view digital video surrogates
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Interactive information retrieval
Annual Review of Information Science and Technology
Individual differences in gaze patterns for web search
Proceedings of the third symposium on Information interaction in context
The use of relevance criteria during predictive judgment: an eye tracking approach
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Eye-tracking reveals the personal styles for search result evaluation
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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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. © 2012 Wiley Periodicals, Inc.