Abstract
The article summarizes the empirical results on relations between students' problem stages in the course of writing their research proposals for their master's theses and the information sought, choice of search terms and tactics and relevance assessments of the information found for that task. The study is based on Kuhlthau's model of the information search process. The results of the study show that there is a close connection between the students' problem stages (mental model) in the task performance and the information sought, search tactics used, and the assessment of the relevance and utility of the information found. The corroborated hypotheses extend and specify ideas in Kuhlthau's model in the domain of IR. A theory of task-based information searching based on the empirical findings of the study is presented.
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References
Barry C (1994) User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science, 45(3): 149-159.
Bateman J (1998) Changes in relevance criteria:Alongitudinal study. In: Proceedings of the 61st American Society for Information Science Annual Meeting 35, pp. 23-32.
Bates M (1990) Where should the person stop and information interface start? Information Processing & Management, 26(5): 575-591.
Belkin N (1993) Interaction with texts: Information retrieval as information seeking behavior. In: Information Retrieval'93, Universitetsverlag Konstanz, Konstanz.
Belkin N, Seeger R andWersig G (1983) Distributed expert problem treatment as a model for information system analysis and design. Journal of Information Science, 5(5): 153-167.
Brajnik G and Mizzarro S and Tasso C (1996) Evaluating user interfaces to information retrieval systems. A case study. In: Proceedings of the SIGIR'96, Zürich, 1996.
Byström K and Järvelin K (1995) Task complexity affects information seeking and use. Information Processing & Management, 31(2): 191-213.
Checkland P and Holwell S (1998) Information, Systems and Information Systems. John Wiley, Chichester/New York.
Driver M and Streufert S (1969) Integrative complexity: An approach to individuals and groups as information processing systems. Administrative Science Quarterly, 14: 272-285.
Ellis D and Haugan M (1997) Modeling the information seeking patterns of engineers and research scientists in an industrial environment. Journal of Documentation, 53(4): 384-403.
Fidel R (1991) Searchers' selection of search keys: III searching styles. JASIS, 42(7): 515-527.
Fowkes H and Beaulieu M (2000) Interactive searching behavior: Okapi experiment for TREC-8. In: Proceedings of the BCS-IRSG: 22nd Annual Colloquium on Information Retrieval Research, Cambridge.
Gavin H (1998) The Essence of Cognitive Psychology. Prentice Hall Europe, London.
Harter S (1992) Psychological relevance and information science. Journal of the American Society for Information Science, 43(9): 602-615.
Heit E (1997) Knowledge and concept learning. In: Lamberts K and Shanks D, Eds., Knowledge, Concepts and Categories. Psychology Press, Hove, pp. 7-41.
Ingwersen P (1996) Cognitive perspectives of IR interaction: Elements of a cognitive IR theory. Journal of Documentation, 51(1): 3-50.
JärvelinK (1987) On information, information technology and the development of society: An information science perspective. In: Ingwersen P, Kajberg L and Mark Pejtersen A, Eds., Information Technology and Information Use. Graham Taylor, London, pp. 35-55.
Kuhlthau C (1991) Inside the search process: Information seeking from the users' perspective. JASIS, 42(5): 361-371.
Kuhlthau C (1993) Seeking Meaning. Ablex, Norwood, NJ.
Marchionini G (1995) Information Seeking in Electronic Environments. Cambridge University Press, Cambridge, UK.
Patel V and Ramoni M (1997) Cognitive models of directional inference in expert medical reasoning. In: Feltovich P, Ford K and Hoffman R, Eds., Expertise in Context: Human and Machine. AAAI Press, Menlo Park, CA, pp. 67-99.
Robertson S and Hancock-Beaulieau M (1992) On the evaluation of IR systems. Information Processing & Management, 28(4): 457-466.
Saracevic T (1975) Relevance: A review of the literature and a framework for thinking on the notion in information science. JASIS, 26: 321-343.
Schamber L (1994) Relevance and information behavior. In: Williams M, Eds., Annual Review of Information Science and Technology 29. Information Today, Medford, NJ, pp. 3-48.
Sormunen E (2000) A method of measuring wide range performance of Boolean queries in full-text databases. Acta Universitatis Tamperensis 748. Doctoral Diss., Tampere University Press, Tampere.
Spink A, Greisdorf R and Bateman J (1998) From highly relevant to non-relevant: Examining different regions of relevance. Information Processing & Management, 34(5): 599-622.
Spink A, Wilson T, Ellis D and Ford N (1998) Modeling users' successive search in digital environments. D-Lib Magazine, March 1998.
Suhonen P and Rautio P (1981) Yhteiskuntatieteiden tietovirrat ja suomalainen tutkija (Information Flows in Social Sciences and the Finnish Researcher). Academy of Finland. Publications 2/1981.
Suppe F (1989) The semantic conception of theories and scientific realism. University of Illinois Press, Urbana/Chicago.
Sutton SA (1994) The role of attorney mental models of law in case relevance determinations: An exploratory analysis. JASIS, 45(3): 186-200.
Vakkari P (1999) Task complexity, problem structure and information actions. Integrating studies on information seeking and retrieval. Information Processing &Management, 35(6): 819-837.
Vakkari P (2000a) Cognition and changes of search terms and tactics during task performance: A longitudinal study. In: Proceedings of the RIAO' 2000 Conference, C.I.D, Paris, 2000. pp. 894-907.
Vakkari P (2000b) Relevance and contributory information types of searched documents in task performance. In: Proceedings of SIGIR2000 Conference, Athens 2000. ACM, New York, pp. 2-9.
Vakkari P and Hakala N (2000) Changes in relevance criteria and problem stages in task performance. Journal of Documentation, 56(5): 540-562.
Vakkari P and Pennanen M (2001) Sources, relevance and contributory information of documents in writing a research proposal. A longitudinal case study. In: Proceedings of the ISIC2000 Conference, to be published.
Wang P (1997) User's information needs at different stages of a research project: A cognitive view. In: Vakkari P, Savolainen R and Dervin B, Eds., Information Seeking in Context. Graham Taylor, London/Los Angeles, pp. 307-318.
Wildemuth B, Jacob E, Fullington A, de Blieck R and Friedman C (1991) A detailed analysis of end-user search behaviors. In: Proc. of the 54 ASIS Annual Meeting, pp. 302-312.
Wilson T (1998) Exploring models of information behaviour: The ‘uncertainty’ project. In: Wilson T and Allen D, Eds., Exploring the Contexts of Information Behaviour. Graham Taylor, London/Los Angeles, pp. 55-66.
Yang S (1997) Information seeking as problem-solving using a qualitative approach to unfover the novice learners' information-seeking process in a perseus hypertext system. Library & Information Science Research, 19(1): 71-92.
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Vakkari, P. Changes in Search Tactics and Relevance Judgements when Preparing a Research Proposal A Summary of the Findings of a Longitudinal Study. Information Retrieval 4, 295–310 (2001). https://doi.org/10.1023/A:1016089224008
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DOI: https://doi.org/10.1023/A:1016089224008