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A User Study on Features Supporting Subjective Relevance for Information Retrieval Interfaces

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Digital Libraries: Achievements, Challenges and Opportunities (ICADL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4312))

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Abstract

Objective relevance regards retrieved documents as relevant without considering users’ tasks. Subjective relevance, in contrast, focuses on usefulness of documents for users’ contexts. This paper aims to enhance objective relevance and address its limitations by designing a mock-up interface based on ACM Digital Library so as to enhance its support for users’ evaluating the subjective relevance of documents. Important features elicited using a factor analytic approach from an earlier study were used to inform the design of the search, results list and document record pages in the mock-up. A pilot study was conducted to gather users’ feedback about usefulness of designed features. Findings indicated that majority of important features designed were useful. However, subjects suggested that the design of some features could be further improved to facilitate their support for SR. The paper concludes by discussing recommendations for improving the mock-up.

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References

  1. Barry, C.L.: User-defined relevance criteria: an exploratory study. Journal of the American Society for Information Science 45(3), 149–159 (1994)

    Article  Google Scholar 

  2. Belkin, N.J., Oddy, R.N., Brooks, H.: ASK for information retrieval: Part I. background and theory. The Journal of Documentation 38(2), 61–71 (1982)

    Article  Google Scholar 

  3. Cosijin, E., Ingwersen, P.: Dimensions of relevance. Information Processing and Management 63, 533–550 (2000)

    Article  Google Scholar 

  4. Borlund, P., Ingwersen, P.: Measures for relative relevance and ranked half-life: Performance indicators for interactive IR. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 324–331. ACM Press, New York (1998)

    Chapter  Google Scholar 

  5. Druin, A., et al.: Designing a digital library for young children: An intergenerational partnership. In: Proceedings of the 1st ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 398–401. ACM Press, New York (2001)

    Chapter  Google Scholar 

  6. Ingwersen, P., Borlund, P.: Information transfer viewed as interactive cognitive processes. In: Ingwersen, P., Pors, N.O. (eds.) Information Science: Integration in Perspective, Royal School of Librarianship, Denmark, pp. 219–232 (1996)

    Google Scholar 

  7. Lee, S.-S., Theng, Y.-L., Goh, H.-L.D., Foo, S.-B.S.: An exploratory factor analytic approach to understand design features for academic learning environments. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds.) ECDL 2006. LNCS, vol. 4172, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  8. Meyyapan, N., Chowdhury, G.G., Foo, S.: Use of a digital work environment prototype to create a user-centered university library. Journal of Information Science 27(4), 249–264 (2001)

    Google Scholar 

  9. Mizzaro, S.: How many relevances in information retrieval? Interacting with Computers 10, 303–320 (1998)

    Article  Google Scholar 

  10. Shneiderman, B.: Designing the user interface: Strategies for effective human-computer interaction. Addison Wesley Longman, USA (1998)

    Google Scholar 

  11. Tang, R., Soloman, P.: Toward an understanding of the dynamics of relevance judgment: An analysis of one person’s search behavior. Information Process and Management 34, 237–256 (1998)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, SS., Theng, YL., Goh, D.HL., Foo, S.SB. (2006). A User Study on Features Supporting Subjective Relevance for Information Retrieval Interfaces. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds) Digital Libraries: Achievements, Challenges and Opportunities. ICADL 2006. Lecture Notes in Computer Science, vol 4312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11931584_24

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  • DOI: https://doi.org/10.1007/11931584_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49375-4

  • Online ISBN: 978-3-540-49377-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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