Task‐based information searching
2003; Wiley; Volume: 37; Issue: 1 Linguagem: Inglês
10.1002/aris.1440370110
ISSN1550-8382
Autores Tópico(s)Advanced Text Analysis Techniques
ResumoAnnual Review of Information Science and TechnologyVolume 37, Issue 1 p. 413-464 Theorizing Information and Information Use Task-based information searching Pertti Vakkari, Pertti Vakkari University of TampereSearch for more papers by this author Pertti Vakkari, Pertti Vakkari University of TampereSearch for more papers by this author First published: 31 January 2005 https://doi.org/10.1002/aris.1440370110Citations: 205Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Bibliography Allen, B. (1991). Topic knowledge and online catalog search formulation. Library Quarterly, 61, 188–213. Allen, B. (1996). Information tasks: Toward a user-centered approach to information systems. San Diego, CA: Academic Press. Anick, P., & Tipirneni, S. (1999). The paraphrase search assistant: terminological feedback for iterative information seeking. Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Informaton (SIGIR '99), 153–159. Avrahami, J., & Kareev, Y. (1993). What do you expect when you ask for "a cup of coffee and a muffin or croissant?" On the interpretation of sentences containing multiple connectives. International Journal of Man-Machine Studies, 38, 429–434. Barry, C. (1994). User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science, 45, 149–159. Bateman, J. (1998). Changes in relevance criteria: A longitudinal study. In C. Preston (Ed.), Proceedings of the 61st American Society for Information Science Annual Meeting (ASIS '98) (pp. 23–32). Medford, NJ: Information Today, Inc. Bates, M. (1986). Subject access to online catalogs: A design model. Journal of the American Society for Information Science, 37, 357–376. Bates, M. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13, 407–424. Bates, M. (1990). Where should the person stop and information interface start? Information Processing & Management, 26, 575–591. Beaulieu, M. (2000). Interaction in information retrieval. Journal of Documentation, 56, 431–439. Beaulieu, M., Robertson, S., & Rasmussen, E. (1996). Evaluating interactive systems in TREC. Journal of the American Society for Information Science, 47, 85–94. Belkin, N. J. (1980). Anomalous states of knowledge as a basis for information retrieval. Canadian Journal of Information Science, 5, 133–143. Belkin, N. J. (1990). A methodology for taking account of user tasks, goals and behavior for design of computerized library catalogs. SIGCHI Bulletin, 23(1), 61–65. Belkin, N. J. (1993). Interaction with texts: information retrieval as informationseeking behavior. In Information Retrieval '93: Von der Modellierung zur Anwendung [From modeling to application]. Proceedings of the First Conference of the Gesellschaft fur Informatik Fachgruppe Information Retrieval (pp. 55–66). Konstanz: Universitatsverlag Konstanz. Belkin, N., Cool, C., Head, J., Jeng, J., Kelly, D., Lin, S., et al. (1999). Relevance feedback versus local context analysis as term suggestion devices. Proceedings of the Eighth Text REtrieval Conference (TREC-8). Retrieved December 18, 2001, from http://trec.nist.gov/pubs/trec8/papers/ruint.pdf. Belkin, N., Cool, C., Stein, A., & Thiel, U. (1995). Cases, scripts and information seeking strategies. Expert Systems with Applications, 9, 379–395. Belkin, N. J., Marchetti, P. G., & Cool, C. (1993). Braque: Design of an interface to support user interaction in information retrieval. Information Processing & Management, 29, 325–344. Belkin, N. J., Oddy, R. N., & Brooks, H. M., (1982a). ASK for information retrieval I. Journal of Documentation, 38, 61–71. Belkin, N. J., Oddy, R. N., & Brooks, H. M., (1982b). ASK for information retrieval II. Journal of Documentation, 38, 145–164. Belkin, N. J., Seeger, R., & Wersig, G. (1983). Distributed expert problem treatment as a model for information system analysis and design. Journal of Information Science, 5, 153–167. Blair, D., & Maron, M. (1985). An evaluation of retrieval effectiveness for a fulltext document retrieval system. Communications of the ACM, 28, 289–299. Borgman, C. L. (1986). Why are online catalogs hard to use? Journal of the American Society for Information Science, 37, 387–400. Borgman, C. L., Hirsh, S. G., & Hiller, J. (1996). Rethinking online monitoring methods for information retrieval systems: From search product to search process. Journal of the American Society for Information Science, 47, 568–583. Borlund, P. (2000). Evaluation of interactive information retrieval systems. Abo, Finland: Abo Akademi University Press. Borlund, P., & Ingwersen, P. (1997). The development of a method for the evaluation of interactive information retrieval systems. Journal of Documentation, 53, 225–250. Bradshaw, S., & Hammond, K. (1999). Constructing indices from citations in collections of research papers. In L. Woods (Ed.), Proceedings of the 62nd Annual Meeting of the American Society for Information Science (ASIS '99) (pp. 741–750). Medford, NJ: Information Today, Inc. Brajnik, G., Mizzarro, S., & Tasso, C. (1996). Evaluating user interfaces to information retrieval systems: A case study. Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '96), 128–136. Brooks, H., Daniels, P., & Belkin, N. J. (1985). Problem descriptions and user models. Informatics, 8, 191–214. Buckingham Shum, S., Motta, E., & Domingue, J. (1999). Representing scholarly claims in Internet digital libraries: A knowledge modelling approach. In S. Abiteboul & A. M. Vercoustre (Eds.), Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries. Berlin: Springer. Retrieved December 18, 2001, from http://link.springer.de/link/service/series/ 0558/bibs/1696/16960423.htm. Budzik, J., & Hammond, K. J. (1999). Watson: Anticipating and contextualizing information needs. In L. Woods (Ed.), Proceedings of the 62nd Annual Meeting of the American Society for Information Science (ASIS '99) (pp. 727–740). Medford, NJ: Information Today, Inc. Byström, K. (1999). Task complexity, information types and information sources. Examination of relationships. Doctoral dissertation. Department of Information Studies, University of Tampere, Finland. Acta Universitatis Tamperensis, 688. Byström, K., & Jarvelin, K. (1995). Task complexity affects information seeking and use. Information Processing & Management, 31, 191–213. Campbell, D. J. (1988). Task complexity: A review and analysis. Academy of Management Review, 13, 40–52. Carter, R. (1998). Vocabulary. Applied linguistic perspectives. London: Routledge. Chang, S., & Rice, R. (1993). Browsing: A multidimensional framework. Annual Review of Information Science and Technology, 28, 231–276. Checkland, P., & Holwell, S. (1998). Information, systems and information systems: Making sense of the field. New York: Wiley. Choo, C. W., Detlor, B., & Turnbull, D. (2000). Web work: Information seeking and knowledge work on the World Wide Web. Dordrecht, Netherlands: Kluwer Academic. Chu, C. M. (1999). Literary critics at work and their information needs: A researchphases model. Library & Information Science Research, 21, 247–273. Cole, C. (1998). Intelligent information retrieval: Diagnosing information need. Part I. The theoretical framework for developing an intelligent IR tool. Information Processing & Management, 347, 709–720. Cole, C., Cantero, P., & Suave, D. (1998). Intelligent information retrieval: Diagnosing information need. Part II Uncertainty expansion in a prototype of a diagnostic IR tool. Information Processing & Management, 34, 721–737. Cole, C., Cantero, P., & Ungar, A. (2000). The development of a diagnostic-prescriptive tool for undergraduates seeking information for social science/humanities assignment. III. Enabling devices. Information Processing & Management, 36, 481–500. Cosijn, E., & Ingwersen, P. (2000). Dimensions of relevance. Information Processing & Management, 26, 533–550. Dervin, B. (1992). From the mind&s eye of the user: The sense-making qualitative methodology. In J. D. Glazier, & R. R. Powell (Eds.), Qualitative research in information management (pp. 61–84). Englewood, CO: Libraries Unlimited. Dervin, B., & Frenette, M. (2001). Sense-making methodology: Communicating communicatively with campaign audiences. In R. Rice, & C. K. Atkin (Eds.), Public communications campaigns (pp. 69–87). Thousand Oaks, CA: Sage. Efthimiadis, E. (1996). Query expansion. Annual Review of Information Science and Technology, 31, 121–187. Ellis, D. (1989). A behavioural approach to information retrieval system design. Journal of Documentation, 45, 171–212. Ellis, D., Cox, D., & Hall, K. (1993). A comparison of the information seeking patterns of researchers in the physical and social sciences. Journal of Documentation, 49, 356–369. Ellis, D., & Haugan, M. (1997). Modelling the information seeking patterns of engineers and research scientists in an industrial environment. Journal of Documentation, 53, 384–403. Engeström, Y., Miettinen, R., & Punamäki, R.-L. (1999). Perspectives on activity theory. Cambridge, UK: Cambridge University Press. Essens, P. J. M. D., McCann, C. A., & Hartevelt, M. A. (1991). An experimental study of the interpretation of logical operators in database querying. Acta Psychologica, 78, 201–225, Fidel, R. (1985). Moves in online searching. Online Review, 9, 61–74. Fidel, R., (1991a). Searchers' selection of search keys: I The selection routine. Journal of the American Society for Information Science, 42, 490–500. Fidel, R., (1991b). Searchers' selection of search keys: III Searching styles. Journal of the American Society for Information Science, 42, 515–527. Fister, B. (1992). The research processes of undergraduate students. Journal of Academic Librarianship, 18, 163–169. Fowkes, H., & Beaulieu, M. (2000). Interactive searching behavior: Okapi experiment for TREC-8. Proceedings of the BCS-IRSG: 22nd Annual Colloquium on Information Retrieval Research. Retrieved December 18, 2001, from http://irsg.edu.org/irsg2000online/papers/fowkes.htm. Garvey, W. D. (1979). Communication: The essence of science. Oxford, UK: Pergamon Press. Hackos, J., & Redish, J. (1998). User and task analysis for interface design. New York: Wiley. Hahn, U., & Chater, N. (1997). Concepts and similarity. In K. Lamberts & D. Shanks (Eds.), Knowledge, concepts and categories (pp. 43–92). Hove, UK: Psychology Press. Hancock-Beaulieu, M., Fieldhouse, M., & Do, T. (1995). An evaluation of interactive query expansion in an online library catalogue with graphical user interface. Journal of Documentation, 51, 225–243. Hansen, P. (1999). User interface design for IR interaction. A task-oriented approach. In T. Aparac, T. Saracevic, P. Ingwersen, & P. Vakkari (Eds.), Digital Libraries: Interdisciplinary concepts, challenges and opportunities. Proceedings of the Third International Conference on the Conceptions of the Library and Information Science (CoLIS 3) (pp. 191–205). Lokve, Croatia: Benja. Harter, S. (1992). Psychological relevance and information scienceM. Journal of the American Society for Information Science, 43, 602–615. Harter, S., & Hert, C. A. (1997). Evaluation of information retrieval systems: Approaches, issues, and methods. Annual Review of Information Science and Technology, 32, 3–94. Henderson, A. (2000). Design for what? Six dimensions of activity (part 2 of 2). Interactions, 7 (6), 25–30. Hersh, W. R. (1994). Relevance and retrieval evaluation: Perspectives from medicine. Journal of the American Society for Information Science, 45, 201–206. Hersh, W. R. (1996). Information retrieval. A health care perspective. Berlin: Springer. Hersh, W., Pentecost, J., & Hickam, D. (1996). A task-oriented approach to information retrieval evaluation. Journal of the American Society for Information Science, 47, 50–56. Hert, C. A. (1996). User goals on an online public access catalog. Journal of the American Society for Information Science, 47, 504–518. Hert, C. A. (1997). Understanding information retrieval interactions: Theoretical and practical implications. Greenwich, CT: Ablex. Hert, C. A., & Marchionini, G. (1997). Seeking statistical information in federal Websites: Users, tasks, strategies, and design recommendations (Final Report to the Bureau of Labor Statistics). Retrieved December 18, 2001, from http://ils.unc.edu/-march/blsreport/blsmain.htm. Hirsh, S. G. (1999). Information seeking at different stages of the R & D search process. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '99), 285–286. Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science, 44, 161–174. Ingwersen, P. (1992). Information retrieval interaction. London: Taylor Graham. Ingwersen, P. (1996). Cognitive perspectives of information retrieval interaction: Elements of a cognitive IR theory. Journal of Documentation, 52, 3–50. Ingwersen, P. (2001). Cognitive information retrieval. Annual Review of Information Science and Technology, 34, 3–51. Järvelin, K. (1987). On information, information technology and the development of society: An information science perspective. In P. Ingwersen, L. Kajberg, & A. M. Pejtersen (Eds.), Information technology and information use (pp. 35–55). London: Taylor Graham. Koenemann, J., & Belkin, N. (1996). A case for interaction: A study of interactive information retrieval behavior and effectiveness. Proceedings of the human factors in computing systems conference (CHI '96), 205–212. Kuhlthau, C. (1991). Inside the search process: Information seeking from the user&s perspective. Journal of the American Society for Information Science, 42, 361–371. Kuhlthau, C. (1993). Seeking meaning. Norwood, NJ: Ablex. Kuhlthau, C. (1999). Accommodating the user&s information search process: Challenges for information retrieval system designers. Bulletin of the American Society for Information Science, 25, 12–16. Kuhlthau, C., & Tama, S. (2001). Information search process of lawyers: A call for "just for me" information services. Journal of Documentation, 57, 25–43. Kunz, W., & Rittel, H. (1977). A systems analysis of the logic of research and information processes. Munich, Germany: Verlag Documentation. Leckie, G. J., Pettigrew, K. E., & Sylvain, C. (1996). Modeling the information seeking of professionals: A general model derived from research on engineers, health care professionals, and lawyers. Library Quarterly, 66, 161–93. Limberg, L. (1999). Three conceptions of information seeking and use. In T. Wilson & D. K. Allen (Eds.), Exploring the Contexts of Information Behaviour (pp. 116–135). London: Taylor Graham. Lin, S., & Belkin, N. J. (2000). Modeling multiple information seeking episodes. In D. H. Kraft (Ed.), Proceedings of the 63rd Annual Meeting of the American Society for Information Science and Technology (pp. 133–147). Medford, NJ: Information Today, Inc. Marchionini, G. (1995). Information seeking in electronic environments. Cambridge, UK: Cambridge University Press. Marchionini, G., & Komlodi, A. (1998). Design of interfaces for information seeking. Annual Review of Information Science and Technology, 33, 89–130. Marchionini, G., Plaisant, C., & Komlodi, A. (in press). The people in digital libraries: Multifaceted approaches to assessing needs and impact. In A. Bishop, B. Buttenfield, & N. VanHouse (Eds.), Digital library use: Social practice in design and evaluation. Boston: MIT Press. McCormick, E. (1979). Job analysis: Methods and applications. New York: Amacom. Menzel, H. (1966). Information needs and uses in science and technology. Annual Review of Information Science and Technology, 1, 41–69. Mitra, M., Singhal, A., & Buckley, C. (1998). Improving automatic query expansion. Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '98), 206–214. Nardi, B. (1996). Context and consciousness: Activity theory and human-computer interaction. Cambridge, MA: MIT Press. Nielsen, J. (1994). As they may work. Interactions, 1, 19–24. Nilan, M., & Fletcher, P. (1987). Information behaviors in the preparation of research proposals: A user study. In C.-C. Chen (Ed.), Proceedings of the 50th Annual Meeting for the American Society of Information Science (pp. 186–192). Medford, NJ: Learned Information. Oddy, R., Palmquist, R., & Crawford, M. (1986). Representation of anomalous states of knowledge in information retrieval. In J. M. Hurd (Ed.), Proceedings of the 49th ASIS Annual Meeting (pp. 248–254). Medford, NJ: Learned Information. Oddy, R., Liddy, E. D., Balakrishnan, B., Bishop, A., Elewononi, J., & Martin, E. (1992). Towards the use of situational information in information retrieval. Journal of Documentation, 48, 123–171. Park, T. (1993). The nature of relevance in information retrieval: An empirical study. Library Quarterly, 63, 318–351. Pejtersen, A. M. (1990). Icons for representation of domain knowledge in interfaces. In R. Fugmann (Ed.), Tools for knowledge organization and human interface. Proceedings 1st International ISKO Conference (Vol. 2, pp. 175–193). Frankfurt, Germany: Indeks Verlag. Pejtersen, A. M., & Fidel, R. (1998). A framework for work-centered evaluation and design: A case study of IR on the Web. Working paper for MIRA workshop. Grenoble, France. Pejtersen, A. M., & Rasmussen, J. (1997). Ecological information systems and support of learning: Coupling work domain information to user characteristics. In M. G. Helander, T. K. Landauer, & P. V. Prabhu (Eds.), Handbook of human-computer interaction (pp. 315–345). Amsterdam: Elsevier. Pejtersen, A. M., Sonnenwald, D. H., Buur, J., Govindaraj, T., & Vicente, K. (1995). The design explorer project: Using a cognitive framework to support knowledge exploration. In Proceedings of the 10th International Conference in Engineering Design (ICED 95) (pp. 219–2299). Zurich, Switzerland: Heurista. Pinelli, T., Glassman, N. A., Affelder, L. O., Hecht, L. M., & Kennedy, J. M. (1993). Technical uncertainty and project complexity as correlates of information use by U. S. industry-affiliated aerospace engineers and scientists. ( Technical Memo 107693). Hanton, VA: U.S. National Aeronautics and Space Administration. Pirolli, P., & Card, S. (1999). Information foraging. Psychological Review, 106, 643–675. Ponte, J., & Croft, W. (1998). A language modeling approach to information retrieval. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '98), 275–281. Pratt, W., & Fagan, L. M. (2000). The usefulness of dynamically categorizing search results. Journal of the American Medical Informatics Association, 7, 605–617. Pratt, W., Hearst, M. A., & Fagan, L. M. (1999). A knowledge-based approach to organizing retrieved documents. Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99). Retrieved December 18, 2001, from http://www.ics.uci.edu/-pratt/pubs/AAAI-99.pdf. Rada, R., & Barlow, J. (1991). Document ranking using an enriched thesaurus. Journal of Documentation, 47, 240–253. Reid, J. (1999). A new, task-oriented paradigm for information retrieval: Implications for evaluation of information retrieval systems. In T. Aparac, T. Saracevic, P. Ingwersen, & P. Vakkari (Eds.), Digital libraries: Interdisciplinary concepts, challenges and opportunities. Proceedings of the Third International Conference on the Conceptions of Library and Information Science (CoLIS3) (pp. 97–108). Lokve, Croatia: Benja. Renouf, A. (1993). What the linguist has to say to the information scientists. Journal of Document and Text Management, 1, 173–190. Richardson, J., Omerod, T., & Shepherd, A. (1998). The role of task analysis in capturing requirements for interface design. Interacting with computers, 9, 367–384. Robertson, S. I. (2001). Problem solving. Hove, UK: Psychology Press. Robertson, S., & Hancock-Beaulieu, M. (1992). On the evaluation of IR systems. Information Processing & Management, 28, 457–466. Saracevic, T. (1996). Relevance reconsidered '96. In P. Ingwersen, & N. Pors (Eds.), Information science: Integration in perspective (pp. 201–218). Copenhagen: Royal School of Librarianship. Saracevic, T., & Kantor, P. (1988). A study of information seeking and retrieving. Part II: Users, questions, and effectiveness. Journal of the American Society for Information Science, 39, 177–176. Savage-Knepshield, P. A., & Belkin, N. J. (1999). Interaction in information retrieval: Trends over time. Journal of the American Society for Information Science, 50, 1067–1082. Savolainen, R. (1995). Everyday life information seeking: Approaching information seeking in the context of "way of life". Library & Information Science Research, 17, 259–294. Schamber, L. (1994) Relevance and information behavior. Annual Review of Information Science and Technology, 29, 3–48. Schamber, L., Eisenberg, M., & Nilan, M. (1990). A re-examination of relevance: Towards a dynamic, situational definition. Information Processing & Management, 26, 755–776. Sewell, W., & Teitelbaum, S. (1986). Observations of end-user on-line searching behavior over eleven years. Journal of the American Society for Information Science, 37, 234–245. Shepherd, A. (1998). HTA as a framework for task analysis. Ergonomics, 41, 1537–1552. Shute, S., & Smith, P. (1993). Knowledge-based search italics. Information Processing & Management, 29, 29–45. Siegfried, S., Bates, M. J., & Wilde, D. N. (1993). A profile of end-user searching behavior by humanities scholars: The Getty Online Searching Project Report No. 2. Journal of the American Society for Information Science, 44, 273–291. Smithson, S. (1994). Information retrieval evaluation practice: A case study approach. Information Processing & Management, 30, 205–221. Spasser, M. A. (1999). Informing information science: The case for activity theory. Journal of the American Society for Information Science, 50, 1136–1138. Spink, A. (1996). Multiple search sessions model of end-user behavior: An exploratory study. Journal of the American Society for Information Science, 47, 603–609. Spink, A., Greisdorf, R., & Bateman, J. (1998). From highly relevant to non-relevant: Examining different regions of relevance. Information Processing & Management, 34, 599–622. Spink, A., Wilson, T., Ellis, D., & Ford, N. (1998, March). Modeling user&s successive searches in digital environments. D-Lib Magazine. Retrieved December 18, 2001, from http://www.dlib.org/dlib/april98/04spink.html. Stein, A., Gulla, J., & Thiel, U. (1999). User-tailored planning of mixed initiative information-seeking dialogues. User Modelling and User-Adapted Interaction, 9, 133–166. Suchman, L. (1986). Plans and situated actions: The problem of human-machine communication. Cambridge, UK: Cambridge University Press. Suchman, L. (1995). Making work visible. Communications of the ACM, 38, 56–64. Sugar, W. (1995). User-centered perspectives of IR research and analysis methods. Annual Review of Information Science and Technology, 30, 77–110. Sutcliffe, A., & Ennis, M. (1998). Towards a cognitive theory of IR. Interacting With Computers, 10, 321–351. Sutcliffe, A., Ennis, M., & Watkinson, S. J. (2000). Empirical studies of end-user information searching. Journal of the American Society for Information Science, 51, 1211–1231. Sutton, S. (1994). The role of attorney mental models of law in case relevance determinations: An exploratory analysis. Journal of the American Society for Information Science, 45, 186–200. Tang, R., & Solomon, P. (1998). Toward an understanding of the dynamics of relevance judgment: An analysis of one person&s search behavior. Information Processing & Management, 34, 237–256. Tiamiyu, M. (1992). The relation between source use and work complexity, decision-making discretion and activity duration in Nigerian government ministries. International Journal of Information Management, 12, 130–141. Vakkari, P. (1999). Task complexity, problem structure and information actions. Integrating studies on information seeking and retrieval. Information Processing & Management, 35, 819–837. Vakkari, P. (2000a). Cognition and changes of search terms and tactics during task performance: A longitudinal study. Proceedings of the RIAO 2000 Conference, 894–907. Retrieved December 18, 2001, from http://www.info.uta.fi/informaatio/vakkari/Vakkari_Tactics_RIAO2000.html. Vakkari, P., (2000b). Relevance and contributory information types of searched documents in task performance. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2000), 2–9. Vakkari, P. (2001). A theory of the task-based information retrieval process: A summary and generalisation of a longitudinal study. Journal of Documentation, 57, 44–60. Vakkari, P., & Hakala, N. (2000). Changes in relevance criteria and problem stages in task performance. Journal of Documentation, 56, 540–562. Vakkari, P., Pennanen, M., & Serola, S. (in press). Changes of search terms and tactics while writing a research proposal. Information Processing & Management. Vechtomova, O., & Robertson, S. (2000). Integration of collocation statistics into the probabilistic retrieval model. Proceedings of the BCS-IRSG: 22nd Annual Colloquium on Information Retrieval Research, 165–177. Retrieved December 18, 2001, from http://irsg.eu.org/irsg2000online/papers/vechtomova.htm. Wang, P. (1997). Users' information needs at different stages of a research project: A cognitive view. In P. Vakkari, R. Savolainen, & B. Dervin (Eds.), Information seeking in context (pp. 307–318). London: Taylor Graham. Wang, P., & Soergel, D. (1998). A cognitive model of document use during a research project. Study I. Document selection. Journal of the American Society for Information Science, 49, 115–133. Wang, P., & White, M. D. (1999). A cognitive model of document use during a research project. Study II. Decisions at the reading and citing stages. Journal of the American Society for Information Science, 50, 98–114. Wersig, G. (1979). The problematic situation as basic concept of information science in the framework of the social sciences. In Theoretical problems for informatics: New trends in informatics and its terminology (pp. 48–57). Moscow: International Federation for Documentation. Wersig, G., & Windel, G. (1985). Information science needs a theory of information action. Social Science Information Studies, 5, 11–23. White, M. D. (1975). The communications behavior of academic economists in research phases. Library Quarterly, 45, 337–354. Wildemuth, B., de Blieck, R., Friedman, C., & File, D. (1995). Medical students, personal knowledge, searching proficiency, and database use in problem solving. Journal of the American Society for Information Science, 46, 590–607. Wildemuth, B., Friedman, C., & Downs, S. (1998). Hypertext versus Boolean access to biomedical information: A comparison of effectiveness, efficiency and user preferences. ACM transactions on computer-human interaction, 5, 156–183. Wildemuth, B., Jacob, E., Fullington, A., de Blieck, R., & Friedman, C. (1991). A detailed analysis of end-user search behaviors. In J.-M. Griffiths (Ed.), Proceedings of the 54th Annual Meeting of the American Society for Information Science (pp. 302–312). Medford, NJ: Learned Information. Wilson, T. (1981). On user studies and information needs. Journal of Documentation, 37, 3–15. Wilson, T. (1999). Models in information behaviour research. Journal of Documentation, 55, 249–270. Xie, H. (1997). Planned and situated aspects in interactive IR: Patterns of user interactive intentions and information seeking strategies. In C. Schwartz, & M. Rorvig (Eds.), Proceedings of the 60th Annual Meeting of the American Society for Information Science, (pp. 101–110). Medford, NJ: Information Today, Inc. Xie, H. (2000). Shifts of interactive intentions and information-seeking strategies in interactive information retrieval. Journal of the American Society for Information Science, 51, 841–857. Yang, S. (1997). Information seeking as problem-solving using a qualitative approach to uncover the novice learners' information-seeking process in a Perseus hypertext system. Library & Information Science Research, 19, 71–92. Yuan, W. (1997). End-user searching behavior in information retrieval: A longitudinal study. Journal of the American Society for Information Science, 48, 218–234. Citing Literature Volume37, Issue12003Pages 413-464 ReferencesRelatedInformation
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