Cognitive process as a basis for intelligent retrieval systems design
Information Processing and Management: an International Journal
Knowledge-based search tactics
Information Processing and Management: an International Journal
Orienteering in an information landscape: how information seekers get from here to there
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Markov models of search state patterns in a hypertext information retrieval system
Journal of the American Society for Information Science
Task complexity affects information seeking and use
Information Processing and Management: an International Journal
End-user searching behavior in information retrieval: a longitudinal study
Journal of the American Society for Information Science
Journal of the American Society for Information Science
Web search behavior of Internet experts and newbies
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Empirical studies of end-user information searching
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Using clustering techniques to detect usage patterns in a Web-based information system
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Stochastic modeling of usage patterns in a Web-based information system
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Information Processing and Management: an International Journal
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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User Modeling and User-Adapted Interaction
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CHI '06 Extended Abstracts on Human Factors in Computing Systems
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SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The search experience variable in information behavior research
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Information Processing and Management: an International Journal
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Information Processing and Management: an International Journal
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Interactive Information Retrieval in Digital Environments
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Journal of the American Society for Information Science and Technology
Transitions in search tactics during the Web-based search process
Journal of the American Society for Information Science and Technology
Predicting task difficulty for different task types
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
The Turn: Integration of Information Seeking and Retrieval in Context
The Turn: Integration of Information Seeking and Retrieval in Context
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Query suggestion is a common feature of many information search systems. While much research has been conducted about how to generate suggestions, fewer studies have been conducted about how people interact with and use suggestions. The purpose of this paper is to investigate how and when people integrate query suggestions into their searches and the outcome of this usage. The paper further investigates the relationships between search expertise, topic difficulty, and temporal segment of the search and query suggestion usage. A secondary analysis of data was conducted using data collected in a previous controlled laboratory study. In this previous study, 23 undergraduate research participants used an experimental search system with query suggestions to conduct four topic searches. Results showed that participants integrated the suggestions into their searching fairly quickly and that participants with less search expertise used more suggestions and saved more documents. Participants also used more suggestions towards the end of their searches and when searching for more difficult topics. These results show that query suggestion can provide support in situations where people have less search expertise, greater difficulty searching and at specific times during the search.