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Information search and re-access strategies of experienced web users

Published: 10 May 2005 Publication History

Abstract

Experienced web users have strategies for information search and re-access that are not directly supported by web browsers or search engines. We studied how prevalent these strategies are and whether even experienced users have problems with searching and re-accessing information. With this aim, we conducted a survey with 236 experienced web users. The results showed that this group has frequently used key strategies (e.g., using several browser windows in parallel) that they find important, whereas some of the strategies that have been suggested in previous studies are clearly less important for them (e.g., including URLs on a webpage). In some aspects, such as query formulation, this group resembles less experienced web users. For instance, we found that most of the respondents had misconceptions about how their search engine handles queries, as well as other problems with information search and re-access. In addition to presenting the prevalence of the strategies and rationales for their use, we present concrete designs solutions and ideas for making the key strategies also available to less experienced users.

References

[1]
Abrams, D., Baecker, R. and Chignell, M. Information archiving with bookmarks: Personal web space construction and organization. In Proc. CHI 1998, ACM Press (1998), 41--48.
[2]
Amento, B., Terveen, L., Hill, W. and Hix, D. TopicShop: enhanced support for evaluating and organizing collections of Web sites. In Proc. UIST 2000, ACM Press (2000), 201--209.
[3]
Anderson, J.R. Learning and Memory: An Integrated Approach. John Wiley & Sons, Inc. (2000).
[4]
Aula, A. Query Formulation in Web Information Search. In Isaias, P. & Karmakar, N. (Eds.) Proc. IADIS International Conference WWW/Internet 2003, Volume I, 403--410. IADIS Press (2003).
[5]
Aula, A. and Käki, M. Understanding Expert Search Strategies for Designing User-Friendly Search Interfaces. In Isaias, P. & Karmakar, N. (Eds.) Proc. IADIS International Conference WWW/Internet 2003, Volume II, 759--762. IADIS Press (2003).
[6]
Brin, S. and Page, L. The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30, 1-7(1998), 107--117.
[7]
Bruce, H., Jones, W., and Dumais, S. Keeping and re-finding information on the web: What do people do and what do they need? In Proc. ASIST 2004, Chicago, IL, Information Today, Inc., October, 2004.
[8]
Byrne, M.D., John, B.E., Wehrle, N.S., and Crow, D.C. The tangled web we wove: A taskonomy of WWW use. In Proc. CHI 1999, ACM Press (1999), 544--551.
[9]
Catledge, L. and Pitkow, J. Characterizing browsing strategies in the World-Wide-Web. In Proc 3rd International World Wide Web Conference. http://www.igd.fhg.de/www/www95/papers/
[10]
Cockburn, A., Greenberg, S., Jones, S. McKenzie, B. and Moyle, M. Improving web page revisitation: Analysis, design and evaluation. IT & Society, 1, 3 (2003), 159--183.
[11]
Cockburn, A. and McKenzie, B. What do web users do? An empirical analysis of web use. Int. J. Human-Computer Studies, 54, 6 (2000), 903--922.
[12]
Dhamija, R. and Perrig, A. Déjà Vu: A user study using images for authentication. In Proc. 9th USENIX Security Symposium, 2000.
[13]
Dumais, S., Cutrell, E., and Chen, H.: Optimizing Search by Showing Results in Context. In Proc. CHI 2001, ACM Press (2001), 277--284.
[14]
Fox, S. Search engines: A Pew Internet project data memo (2002). Available at: http://www.pewinternet.org/reports/toc.asp?Report=64
[15]
Hölscher, C., and Strube, G. Web search behavior of internet experts and newbies. In Proc. 9th International WWW conference. Amsterdam, The Netherlands, 337--346 (2000).
[16]
iBoogie Metasearch Clustering Engine. http://www.iboogie.com
[17]
Jansen, B.J. and Pooch, U. A review of web searching studies and a framework for future research. Journal of the American Society for Information Science and Technology, 52, 3 (2001), 235--246.
[18]
Jansen, B.J. and Spink, A. (in press) How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Information Processing and Management, in press.
[19]
Jansen, B.J., Spink, A., and Saracevic, T. Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing and Management, 36, 2 (2000), 207--227.
[20]
Jhaveri, N. and Räihä, K.-J. The advantages of a cross-session web workspace. To appear in Proc. CHI 2005, ACM Press (2005).
[21]
Jones, W., Bruce, H., and Dumais, S. Keeping found things found on the Web. In Proc. Tenth International Conference on Information and Knowledge Management, 119--126 (2001).
[22]
Jones, W., Bruce, H., and Dumais, S. How do people get back to information on the web? How can they do it better? In Proc. INTERACT 2003, 793--796.
[23]
Kaasten, S., Greenberg, S., and Edwards, C. How people recognize previously seen WWW pages from titles, URLs and thumbnails. In X. Faulkner, J. Finlay and F. Detienne (Eds.) Proc. of Human Computer Interaction 2002, BCS Conference Series, 247--265.
[24]
Kitchenham, B.A. and Pfleeger, S.I. Principles of survey research part 3: Constructing a survey instrument. Software Engineering Notes, 27, 2 (2002), 20--24.
[25]
Kitchenham, B.A. and Pfleeger, S.I. Principles of survey research part 4: Questionnaire evaluation. Software Engineering Notes, 27, 3 (2002), 20--23.
[26]
Käki, M. Findex: Search result categories help users when document ranking fails. To appear in Proc. CHI 2005, ACM Press (2005).
[27]
Käki, M. and Aula, A. Findex: Improving search result use through automatic filtering categories. To appear in Interacting with Computers.
[28]
OmniGroup. OmniWeb. http://www.omnigroup.com/applications/omniweb/
[29]
Pirolli, P. and Card, S. Information foraging. Psychological Review, 106, 4 (1999), 643--685.
[30]
Sellen, A.J., Murphy, R. and Shaw, K.L. How knowledge workers use the web. In Proc. CHI 2002, ACM Press (2002), 227--234.
[31]
Spink, A., Wolfram, D., Jansen, B.J., and Saracevic, T. Searching the web: The public and their queries. Journal of the American Society for Information Science and Technology, 52, 3 (2001), 226--234.
[32]
Straub, D.W. Validation in information systems research: A state-of-the-art assessment. MIS Quarterly, 24, 1 (2001), 1--16.
[33]
Sutcliffe, A. and Ennis, M. Towards a cognitive theory of information retrieval. Interacting with Computers, 10 (1998), 321--351.
[34]
Tauscher, L. and Greenberg, S. Revisitation patterns in World Wide Web navigation. In Proc. CHI 1997, ACM Press (1997), 99--106.
[35]
Visimo Clustering Engine. http://www.vivisimo.com
[36]
Wen, J. Post-valued recall web pages: User disorientation hits the big time. IT & Society, 1, 2 (2003), 184--194.
[37]
WiseNut. http://www.wisenut.com
[38]
Zamir, O. and Etzioni, O. Web Document Clustering: A Feasibility Demonstration. In Proc. SIGIR'98, ACM Press (1998), 46--54.

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cover image ACM Conferences
WWW '05: Proceedings of the 14th international conference on World Wide Web
May 2005
781 pages
ISBN:1595930469
DOI:10.1145/1060745
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 10 May 2005

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Author Tags

  1. experienced web users
  2. information re-access
  3. questionnaire study
  4. web search

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  • (2023)ReDBot: Exploring Conversational Recommendation for Decision-Making Support in Group ChatsProceedings of the Eleventh International Symposium of Chinese CHI10.1145/3629606.3629615(73-80)Online publication date: 13-Nov-2023
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