What are you looking for?: an eye-tracking study of information usage in web search

By Edward Cutrell, Zhiwei Guan. International Conference on Human Factors in Computing Systems, 2007

538 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/a15fe8c0ac6f3858de6756e9a71e426e225d226b

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In Computer Science Applications

In Information Systems

Citations in the corpus

Measuring personalization of web search (2013, background): “Understanding the impact of personalization on top ranked search results is critical, since eye-tracking studies have demonstrated that users rarely scroll down to results “below the fold” [3, 12, 13,20].”
Augmenting web pages and search results to support credibility assessment (2011, methodology): “These timings were selected based on prior findings [6] that users typically spend 10 seconds reading search results.”
Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “Cutrell and Guan [70] describe a study that used eye tracking to explore the effects of changes in the presentation of search results.”
Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking (2018, background): “Eye-tracking heat maps are widely applied in web usability studies (Cutrell and Guan 2007; Buscher et al. 2009) and serve as useful tools to illustrate observers’ viewing behavior and attentional allocation when accompanying a statistical analysis.”
Identifying Viable ‘Need-Solution Pairs’: Problem Solving Without Problem Formulation (2013, unknown): “, traces people leave in content browsing on the Internet or eye-tracking patterns they display when they conduct their search (Cutrell and Guan 2007).”
Online Evaluation for Information Retrieval (2016, methodology): “Gui et al. [2015] propose a method for analyzing experiment data when network effects are present.”
Understanding PubMed® user search behavior through log analysis (2009, result): “Our finding comports with studies that show similar patterns in eye movements and mouse movements during Web search (27,28,77).”
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages (2009, background): “A study by Cutrell & Guan [ 7 ] focused on viewing behavior on search result lists as created by commercial search engines, and investigated the effect of task and the information density of search results on gaze and search behavior.”