Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
Information retrieval interaction
Information retrieval interaction
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Towards the identification of the optimal number of relevance categories
Journal of the American Society for Information Science
Journal of the American Society for Information Science
Interactive query expansion: a user-based evaluation in a relevance feedback environment
Journal of the American Society for Information Science
Relevance judging, evaluation, and decision making in virtual libraries: a descriptive study
Journal of the American Society for Information Science and Technology
Using graded relevance assessments in IR evaluation
Journal of the American Society for Information Science and Technology
Changes of search terms and tactics while writing a research proposal A longitudinal case study
Information Processing and Management: an International Journal
Validation of a model of information seeking over multiple search sessions
Journal of the American Society for Information Science and Technology
Relevance judgment: What do information users consider beyond topicality?
Journal of the American Society for Information Science and Technology - Research Articles
The dynamics of interactive information retrieval behavior, Part I: An activity theory perspective
Journal of the American Society for Information Science and Technology
The dynamics of interactive information retrieval behavior, Part I: An activity theory perspective
Journal of the American Society for Information Science and Technology
Calibrating information users' views on relevance: A social representations approach
Journal of Information Science
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Human information-seeking behavior is complicated. Activity theory is a powerful theoretical instrument to untangle the “complications.” Based on activity theory, a comprehensive framework is proposed in Part I (Y. Xu, 2007) of this report to describe interactive information retrieval (IIR) behavior. A set of propositions is also proposed to describe the mechanisms governing users' cognitive activity and the interaction between users' cognitive states and manifested retrieval behavior. An empirical study is carried out to verify the propositions. The authors' experimental simulation of 81 participants in one search session indicates the propositions are largely supported. Their findings indicate IIR behavior is planned. Users adopt a divide-and-conquer strategy in information retrieval. The planning of information retrieval activity is also partially manifested in query revision tactics. Users learn from previously read documents. A user's interaction with a system ultimately changes the user's information need and the resulting relevance judgment, but the dynamics of topicality perception and novelty perception occur at different paces. © 2007 Wiley Periodicals, Inc.