- Brindle, E. A. (1981). The relationship between characteristics of searchers and their behaviors while using an online interactive retrieval system. Ph.D. dissertation. Syracuse University.Google Scholar
- Fenichel, C. H. (1981). Online searching: Measures that discriminate among users with different types of experiences. Journal of the American Society for Information Science 32 (1): 23-32.Google ScholarCross Ref
- Fidel, R. (1984). Online searching styles: A case-study-based model of searching behavior. Journal of the American Society for information Science 35 (4): 211-221.Google ScholarCross Ref
- Fidel, R. (1985). Individual variability in online searching behavior. In C.A. Parkhurst (Ed.) Proceedings of the 48th Annual Meeting of the American Society for Information Sc&nce (pp. 69-72). White Plains, NY: Knowledge Industry Publications.Google Scholar
- Fidel, R. (1986). Towards expert systems for selection of search keys. Journal of the American Society for Information Science 37 (I): 37-44.Google ScholarCross Ref
- Fidet, R. (1990). Online searching styles. In D. Henderson (Ed.) Proceedings of the 53rd Annual Meeting of the American Society for Information Science (pp. 98-103). Medford, NJ: Learned Information, Inc.Google Scholar
- Fidel, R. (1991a). Searchers' selection of search keys: I. The selection routine. Journal of the American Society for Information Science 42 (7), 490-500.Google ScholarCross Ref
- Fidel, R. (1991b). Searchers' selection of search keys: II. Controlled vocabulary and free-text searching. Journal of the American Society for Information Science 42 (7), 501-514.Google ScholarCross Ref
- Fidel, R. (1991c). Searchers' selection of search keys: III. Searching styles. Journal of the American Society for Information Science 42 (7), 515-527.Google ScholarCross Ref
- Furnas, G.W., Landauer, T.K., Gomez, L.M. & Dumais, S.T. (1987). The vocabulary problem in human-system communication. Communications of the ACM 30 (11), 964- 971. Google ScholarDigital Library
- Harter, S.P. (1986). Online Information Retrieval. Orlando: Academic Press. Google ScholarDigital Library
- Howard, H. (1982). Measures that discriminate among online searchers with different training and experience. Online Review 6 (4): 315-327.Google ScholarCross Ref
- Iivonen M. (I994). Challenges and opportunities of libraries as online search environments. Libri 44 (1), 28-46.Google Scholar
- livonen, M. (1995). Consistency in the selection of search concepts and search terms. Information Processing & Management 31 (2), 180-186. Google ScholarDigital Library
- Markey, K. & Atherton, P. (1978). Online training and practice manual for ERIC data base searchers. Syracuse, NY. ERIC Clearinghouse on Information Resources.Google Scholar
- Mick, C. K. (1980). Human factors in information work. In A. R. Benenfeld & E. J. Kazlauskas (Ed.) Proceedings of the 43rd ASIS annual meeting (pp. 21-23). White Plains, N.Y.: Knowledge Industry Publications.Google Scholar
- Saracevic, T. (1984). Measuring the degree of agreement between searchers, in B. Flood, J. Witiak & T.H. Hogan (Ed.) Proceedings of the 47th Annual Meeting of the American Society for Information Science (pp. 227-230). White Plains, NY: Knowledge Industry Publications.Google Scholar
- Saracevic, T., Kantor, P., Chamis A. Y. & Trivison, D. (1987). Experiments on the cognitive aspects of information seeking and information retrieving: Final Report for National Science Foundation Grants IST-8505411. Washington, D.C.: National Technical Information Service; Educational Research Information Center.Google Scholar
- Saracevic, T., Kantor, P., Chamis A. Y. & Trivison, D. (1988), A study of information seeking and retrieving. I. Background and methodology. Journal of the American Society for Information Science 39 (3), 161-176.Google ScholarCross Ref
- Saracevic, T. & Kantor, P. (1988). A study of information seeking and retrieving. III. Searchers, searches, and overlap. Journal of the American Society for Information Science 39 (3), 197-216.Google ScholarCross Ref
- Sch/3n, D. A. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books.Google Scholar
- Siegel, S., Castellan Jr., N. J. (1988). Nonparametric statistics for the behavioral sciences. Second Edition. New York: McGraw-Hill.Google Scholar
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- Searchers and searchers: differences between the most and least consistent searches
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Searchers switch tactics under increased mental load
ASIST '13: Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information BoundariesEffects of mental demands on searchers were examined by controlling tasks complexity and by assessing searchers' working memory span (WM). The searchers were divided into low and high WM group. We expected that on more complex tasks all searchers would ...
“Irrational” searchers and IR-rational researchers
In this article the authors look at the prescriptions advocated by Web search textbooks in the light of a selection of empirical data of real Web information search processes. They use the strategy of disjointed incrementalism, which is a theoretical ...
What does time constraint mean to information searchers?
IIiX '14: Proceedings of the 5th Information Interaction in Context SymposiumIn this paper, we explore the relationship between time constraints and users' assessment of their search. A user experiment was conducted. Participants were asked to search under two conditions: with time constraint (TC) and with no time constraint (NTC)...
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