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How users assess web pages for information seeking

Published: 15 February 2005 Publication History

Abstract

In this article, we investigate the criteria used by online searchers when assessing the relevance of Web pages for information-seeking tasks. Twenty-four participants were given three tasks each, and they indicated the features of Web pages that they used when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work-task situation. We investigated the relative utility of features identified by participants (Web page content, structure, and quality) and how the importance of these features is affected by the type of information-seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of Web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend Web pages.

References

[1]
Barry, C.L. (1994). User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science, 45(3), 149-159.
[2]
Barry, C.L. (1998). Document representations and clues to document relevance. Journal of the American Society for Information Science, 49(14), 1293-1303.
[3]
Borlund, P. (2000). Experimental components for the evaluation of interactive information retrieval systems. Journal of Documentation, 56(1), 71-90.
[4]
Chi, E.H., Pirolli, P., Chen, K., & Pitkow, J. (2001). Using information scent to model user information needs and actions on the Web. Proceedings of the ACM SIGCHI Conference (pp. 490-497).
[5]
Cool, C., Belkin, N.J., & Kantor, P.B. (1993). Characteristics of text affecting relevance judgments. In Proceedings of the 14th National Online Meeting (pp. 77-84). Medford, NJ: Learned Information.
[6]
Cothey, V. (2002). A longitudinal study of World Wide Web users' information-seeking behavior. Journal of the American Society for Information Science and Technology, 53(2), 67-78.
[7]
Czerwinski, M.P., van Dantzich, M., Robertson, G., & Hoffmann, H. (1999). The contribution of thumbnail image, mouse-over text and spatial location memory to Web page retrieval in 3D. In Proceedings of Interact '99 (pp. 163-170).
[8]
Dziadosz, S., & Chandrasekar, R. (2002). Do thumbnail previews help users make better relevance decisions about Web search results? In Proceedings of the ACM SIGIR Conference (pp. 365-366).
[9]
Fleming, J. (1998). Web navigation: Designing the user experience. Sebastopol, CA: O'Reilly & Associates.
[10]
Flick, U. (1998). An introduction to qualitative research. Thousand Oaks, CA: Sage.
[11]
Hosmer, D.W., & Lemeshow, S. (1989). Applied logistic regression. New York: Wiley.
[12]
Ingwersen, P. (1992). Information retrieval interaction. London: Taylor Graham.
[13]
Ivory, M.Y., Sinha, R.R., & Hearst, M.A. (2001). Empirically validated Web page metrics. Proceedings of the ACM CHI Conference on Human Factors in Computing Systems 3, 53-60.
[14]
Janes, J.W. (1991). Relevance judgments and the incremental presentation of document representations. Information Processing & Management, 27(6), 629-646.
[15]
Jansen, B.J., Spink, A., & Saracevic, T. (2000). Real life, real users and real information needs: A study and analysis of user queries on the Web. Information Processing & Management, 36(2), 207-227.
[16]
Kelly, D., Murdock, V., Yuan, X., Croft, W.B., & Belkin, N.J. (2002). Features of documents relevant to task and fact-oriented questions. Proceedings of the 11th ACM CIKM Conference (pp. 645-647).
[17]
Kim, K.S., & Allen, B. (2002). Cognitive and task influences on Web searching behavior. Journal of the American Society for Information Science and Technology, 53(2), 109-119.
[18]
Lazonder, A.W., Biemans, H.J.A., & Wopereis, I.G.J.H. (2000). Differences between novice and expert users in searching information on the World Wide Web. Journal of the American Society for Information Science, 51(6), 576-581.
[19]
Maglaughlin, K.L., & Sonnenwald, D.H. (2002). User perspectives on relevance criteria: A comparison among relevant, partially relevant, and not-relevant judgments. Journal of the American Society for Information Science and Technology, 53(5), 327-342.
[20]
Mizzaro, S. (1997). Relevance: The whole history. Journal of the American Society for Information Science, 48(9), 810-832.
[21]
Preece, J. (1994). Human computer interaction. Wokingham, UK: Addison Wesley.
[22]
Saracevic, T. (1969). Comparative effects of titles, abstracts and full text on relevance judgments. Journal of the American Society for Information Science, 22, 126-139.
[23]
Saracevic, T. (1970). The concept of "relevance" in information science: A historical review. In T. Saracevic (Ed.), Introduction to information science (pp. 111-151). New York: R.R. Bowker.
[24]
Schamber, L. (1991). Users' criteria for evaluation in a multimedia environment. Proceedings of the 54th Annual Meeting of the American Society for Information Science, 28, 126-133.
[25]
Schamber, L. (1994). Relevance and information behavior. Annual Review of Information Science and Technology, 29, 3-48.
[26]
Schamber, L., Eisenberg, M.B., & Nilan, M.S. (1990). A reexamination of relevance: Toward a dynamic, situational definition. Information Processing & Management, 26, 755-776.
[27]
Search Engine Heaven. (2003). http://www.richeast.org/SEHeaven.html
[28]
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(2/3), 237-256.
[29]
Vakkari, P. (2000). Relevance and contributing information types of searched documents in task performance. In Proceedings of the 23rd ACM SIGIR Conference (pp. 2-9).
[30]
Vakkari, P., & Hakala, N. (2000). Changes in relevance criteria and problem stages in task performance. Journal of Documentation, 56(5), 540-562.
[31]
White, M.D., & Iivonen, M. (2001). Questions as a factor in Web search strategy. Information Processing & Management, 37, 721-740.
[32]
White, R.W., Jose, J.M., & Ruthven, I. (2002). The use of implicit evidence for relevance feedback in Web retrieval. In Proceedings of the 24th European Colloquium on IR Research (pp. 93-109).
[33]
White, R.W., Jose, J.M., & Ruthven, I. (2003). A task-oriented study on the influencing effects of query-biased summarisation in Web searching. Information Processing and Management, 39(5), 707-733.
[34]
Woodruff, A., Aoki, P.M., Brewer, E., Gauthier, P., & Rowe, L.A. (1996). An investigation of documents from the World Wide Web. Proceedings of the Fifth International World Wide Web Conference.
[35]
Woodruff, A., Rosenholtz, R., Morrison, J.B., Faulring, A., & Pirolli, P. (2002). A comparison of the use of text summaries, plain thumbnails, and enhanced thumbnails for Web search tasks. Journal of the American Society for Information Science and Technology, 53(20), 172-185.
[36]
WWW Digital Library. (2003). http://www.vlib.org/.
[37]
Wynblatt, M., & Benson, D. (1998). Web page caricatures: Multimedia summaries for WWW documents. Proceedings of the IEEE International Conference on Multimedia Computing and Systems (pp. 194-199).
[38]
Yahoo. (2003). http://www.yahoo.com/.
[39]
Yuan, W. (1997). End-user searching behavior in information retrieval: A longitudinal study. Journal of the American Society for Information Science, 48(3), 218-234.
[40]
ZDNET. (2003). http://www.zdnet.com/yil.
[41]
Zhu, X., & Gauch, S. (2000). Incorporating quality metrics in centralized distributed information retrieval on the World Wide Web. Proceedings of the 23rd ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 288-295).

Cited By

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Reviews

Jaroslav Pokorny

This paper attempts to explore the criteria used by online searchers when assessing the relevance of Web pages for information seeking tasks. After a deep analysis of related work, the authors summarize the contributions of their paper: identifying the features that users employ during an information seeking process, examination of the effects of various tasks on the criteria employed by searchers, and a discussion of how the criteria evolved during the different stages of tasks. A remarkable fact is that the features were not predefined, as is common in similar research; instead, they were discovered during the tasks. The methodology used for the study involved 24 participants, and classical tools such as predefined tasks, questionnaires, and extracting information from search sessions. The obtained data was analyzed, and follow-up statistical processing was performed. Advanced methods, like Web mining of users' sessions, were not used. In the last two sections, the authors present and discuss their results. Although the results are not too surprising, and could be influenced by the limitations of the methodology used, they could be considered during the design of Web retrieval systems. Online Computing Reviews Service

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Published: 15 February 2005

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Cited By

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  • (2021)Adaptation in Information Search and Decision-Making under Time ConstraintsProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446030(95-105)Online publication date: 14-Mar-2021
  • (2021)User Assessment of Webpage UsefulnessHuman-Computer Interaction. Design and User Experience Case Studies10.1007/978-3-030-78468-3_30(442-457)Online publication date: 24-Jul-2021
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