Information seeking in electronic encyclopedias
Machine-Mediated Learning
Information seeking in electronic environments
Information seeking in electronic environments
Searcher response in a hypertext-based bibliographic information retrieval system
Journal of the American Society for Information Science
A visit to the information mall: Web searching behavior of high school students
Journal of the American Society for Information Science - Special topic issue: youth issues in information science
Children's relevance criteria and information seeking on electronic resources
Journal of the American Society for Information Science
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Journal of the American Society for Information Science and Technology
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
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
Eyetracking Web Usability
Eye-tracking reveals the personal styles for search result evaluation
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
23rd French Speaking Conference on Human-Computer Interaction
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In this paper, we describe an experiment that uses the eye-tracking technique to help us understand how young people (recruited from Grade 5 to Grade 11) explore a search engine results page (SERP) to find information. In particular, we looked at how varying the typographical cuing in Web search results (With boldface versus No boldface) and the familiarity of the search topic (Familiar versus Unfamiliar) affected user visual strategies. Results have mainly showed that (1) typographical cuing and prior domain knowledge influence the visual exploration of a SERP, that (2) four different visual strategies can be identified for young people (F-shaped strategy, Exhaustive strategy, Cued visual jumps, and F-inverse strategy), and that (3) the distribution of these strategies depends on the grade level and on the degree of familiarity of the search topic (i.e., the level of prior domain knowledge).