Information-seeking strategies of novices using a full-text electronic encyclopedia
Journal of the American Society for Information Science
Information retrieval interaction
Information retrieval interaction
Task complexity affects information seeking and use
Information Processing and Management: an International Journal
Task-technology fit and individual performance
MIS Quarterly
Information use for learning purposes
ISIC '96 Proceedings of an international conference on Information seeking in context
Web site usability: a designer's guide
Web site usability: a designer's guide
Exploring the contexts of information behaviour
Helping people find what they don't know
Communications of the ACM
Cognitive and task influences on Web searching behavior
Journal of the American Society for Information Science and Technology
Web Search Strategies
Using Online Catalogs: A Nationwide Survey
Using Online Catalogs: A Nationwide Survey
The effects of domain knowledge on search tactic formulation
Journal of the American Society for Information Science and Technology
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
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Human-Computer Interaction (HCI) is all about the way in which people interact with computer systems. This paper focuses on the cognitive aspects of HCI when a user is searching for information, so as to facilitate effective user interactions with vast amounts of available information. Search engines provide a 'one-size-fits-all' model, which do not adequately cater to the differing needs of searchers at different points in time (continuously changing situations in time/space, as per sense-making theory). We posit that from a system designer's point of view, capturing the 'user ability to specify his information need' will help operationalize task/searcher characteristics (hence the user need) and help the designer provide better interfaces for search that fit the needs of the user and lead to search efficacy and searcher satisfaction. The study should advance HCI for search through greater understanding of user needs, enhance search interfaces and lead to theory development.