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A Validated Framework for Measuring Interface Support for Interactive Information Seeking

Wilson, M. L. and schraefel, m. c. (2008) A Validated Framework for Measuring Interface Support for Interactive Information Seeking. Technical Report 1513520080128, School of Electronics and Computer Science, University of Southampton. (Submitted)

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Abstract

In this paper we present the validation of an evaluation framework that models the support provided by search systems for different types of user and their expected types of seeking behavior. Factors determining the types of users include previous knowledge and goals. After an overview is presented, the framework is validated in two ways. First, the novel integration of the two existing information-seeking models used in the framework is validated by the correlation of multiple expert and novice analysis. Second, the framework is validated against the results produced by two separated user studies. Further, the refinements made by the first validation technique are shown to increase the accuracy of the framework through the second technique. The successful validation process has shown that the framework can identify both strong and weak areas of search interface design in only a few hours. The results produced can be used to either revise and strengthen designs or inform the structure of a user study.

Item Type:Technical Report
Creator/Authors:
Max L. Wilson
m.c. schraefel
Research Group:Old ECS Groups > Intelligence, Agents, Multimedia
Current ECS Groups > Agents, Interaction and Complexity
Date:2008
Information about this record:
Performance Indicator:EZ~02~02~06
Downloads (2010):34
ID Code:15135
Last Modified:23 Sep 2011 10:36
Deposited On:04 Feb 2008 12:22 by Wilson, Max

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References in Article

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1. Bates, M.J. Idea tactics. Journal of the American Society for Information Science, 30 (5). 280-289.

2. Bates, M.J. Information search tactics. Journal of the American Society for Information Science, 30. 205-214.

3. Belkin, N.J., Cool, C., Stein, A. and Thiel, U. Cases, scripts, and information-seeking strategies: on the design of interactive information retrieval systems. Expert Systems with Applications, 9 (3). 379-395.

4. Belkin, N.J., Marchetti, P.G. and Cool, C. Braque: design of an interface to support user interaction in information retrieval. Inf. Process. Manage., 29 (3). 325-344.

5. Buckland, M.K. Design for an Adaptive Library Catalog. Proceedings of the ASIS Mid-Year Meeting, 165. 71.

6. Capra, R., Marchionini, G., Oh, J.S., Stutzman, F. and Zhang, Y. Effects of structure and interaction style on distinct search tasks. Proceedings of the 2007 conference on Digital libraries. 442-451.

7. Cool, C. and Belkin, N.J., A classification of interactions with information. Proceedings of the 4th International Conference on Conceptions of Library and Information Science, (2002). 1-15

8. Croft, W.B., Turtle, H.R. and Lewis, D.D. The use of phrases and structured queries in information retrieval. Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval. 32-45.

9. Hearst, M.A. Clustering versus faceted categories for information exploration. Commun. ACM, 49 (4). 59-61.

10. Hsieh-Yee, I. Search Tactics of Web Users in Searching for Texts, Graphics, Known Items and Subjects: ASearch Simulation Study. Electronic Resources: Use and User Behavior.

11. Huvila, I. and Widén-Wulff, G. Perspectives to the classification of information interactions: the Cool and Belkin faceted classification scheme under scrutiny. Proceedings of the 1st international conference on Interaction in context. 144-152.

12. Järvelin, K. and Ingwersen, P. Information seeking research needs extension towards tasks and technology. Information Research, 10 (1). 10-11.

13. Moody, M.K. Documents search strategies and general reference search strategies: an analysis and comparison. The Reference librarian (32). 57-69.

14. Pharo, N., Web information search strategies: A model for classifying web interaction. Proceedings of the 3rd International Conference on the Conceptions of the Library and Information Science, (1999). 207–218

15. Ruthven, I. Re-examining the potential effectiveness of interactive query expansion. Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. 213-220.

16. schraefel, m.c., Wilson, M.L., Russell, A. and Smith, D.A. mSpace: improving information access to multimedia domains with multimodal exploratory search. Communications of the ACM, 49 (4). 47-49.

17. Shute, S.J. and Smith, P.J. Knowledge-Based Search Tactics. Information Processing and Management, 29 (1). 29-45.

18. Smith, P.J., Shute, S.J., Galdes, B. and Chignell, M.H. Knowledge-based search tactics for an intelligent intermediary system. ACM Transactions on Information Systems (TOIS), 7 (3). 246-270.

19. W3C. RDF/XML Synctax Specification (Revised) - http://www.w3.org/TR/2004/REC-rdf-syntax-grammar-20040210/. Accessed on: 31st October 2007.

20. White, H.D. and McCain, K.W. Visualizing a discipline: An author co-citation analysis of information science, 1972-1995. Journal of the American Society for Information Science, 49 (4). 327-355.

21. Wildemuth, B.M., de Bliek, R., He, S. and Friedman, C.P. Search moves made by novice end users. Proceedings of the 55th annual meeting on Celebrating change: information management on the move: information management on the move table of contents. 154-161.

22. Wilson, M.L., André, P., Smith, D.A. and schraefel, m.c. Spatial Consistency and Contextual Cues for Incidental Learning in Browser Design, 2007.

23. Wilson, M.L. and schraefel, m.c., Bridging the Gap: Using IR Models for Evaluating Exploratory Search Interfaces. First Workshop on Exploratory Search and HCI at SIGCHI07, (2007).

24. Wilson, M.L., schraefel, m.c. and White, R.W. Evaluating Advanced Search Interfaces using Established Information-Seeking Models. JASIST.

25. Yee, K.-P., Swearingen, K., Li, K. and Hearst, M., Faceted metadata for image search and browsing. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (New York, NY, USA, 2003), ACM Press. 401-408

26. Zhang, J. and Marchionini, G., Evaluation and evolution of a browse and search interface: relation browser. Proceedings of the 2005 National Conference on Digital Government Research, (2005), Digital Government Research Center. 179-188

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