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Article

The effect of task domain on search

Published: 06 October 2003 Publication History

Abstract

The objective of our work is to assess how search interfaces can be personalized according to domain-specific needs. In this study we investigated how people search within diverse domains (consumer health, shopping, travel and general research) to identify differences in searching needs. A mixed method research design was used to observe forty-eight participants interacting with a modified version of Google to complete four search problems from four domains. Results indicated significant differences by domain. Furthermore, analysis of verbal protocols identified specific areas to be addressed in the design of new search interfaces.

References

[1]
{1} A Student's Guide to Research with the WWW. (http://www.slu.edu/departments/english/research).
[2]
{2} Bar-Ilan, J. The Web as an information source on informetrics? A content analysis. Journal of the American Society for Information Science 51, 5, (2000), 432-443
[3]
{3} Bates, M. J. Indexing and access for digital libraries and the Internet: Human, database and domain factors. Journal of the American Society for Information Science, 49, 13, (1998), 1185-1205.
[4]
{4} Broder, A. A taxonomy of Web search. SIGIR Forum, 2002. 36(2).
[5]
{5} Fidel, R. et al. A visit to the information mall: Web searching behavior of high school students. Journal of American Society of Information Science, 50, (1999), 24-37.
[6]
{6} Fodness, D. & Murray, B. A typology of tourist information search strategies. Journal of Travel Research, 37, (1998), 108-119.
[7]
{7} Fodness, D and Murray, B. A model of tourist information search behavior. Journal of Travel Research 37, (1999), 220-230.
[8]
{8} Gursoy, D. Development of a Traveler's Information Search Behavior Model. Unpublished Doctoral Dissertation, Virginia Polytechnic Institute, 2001.
[9]
{9} Hoelscher, C., & Strube, G. Web search behavior of Internet experts and newbies. Computer Networks, 33, (2000), 337-346.
[10]
{10} Hsieh-Yee, I. Search tactics of Web users in searching for texts, graphics, known items and subjects: A search simulation study. The Reference Librarian, 60, (1998), 61-85.
[11]
{11} Jansen, B. J., & Pooch, UA review of web searching studies and a framework for future research. Journal of the American Society for Information Science, 52, 3, (2000), 235-246.
[12]
{12} Kari, J. & Savolainen, R. Web searching in the context of information seeking in everyday life: The cases of civic and spiritual action. A research proposal. Paper presented at Summer school on web searching. 19-21.8.2001. Tampere. Myös http://www.uta.fi/~csjakar/kari-savolainen.pdf 27.12.2002.
[13]
{13} Lawrence, S and Giles C.L. Searching the World Wide Web. Science, 280, (1998), 98-100.
[14]
{14} Lazonder, A. W., Biemans, H. J. A., & Wopereis, I. G. J. Differences between novice and experiences users in searching information on the World Wide Web. Journal of the American Society for Information Science, 51, 6, (2000), 576-581.
[15]
{15} McClung, H.J., Murray, R.D. and Heitlinger, L.A. The Internet as a source for current patient information. Pediatrics, 101, 6, (1998), E2.
[16]
{16} Morrison, J. B., Pirolli, P., & Card, S. K. A taxonomic analysis of what World Wide Web activities significantly impact peoples decisions and actions. In J. Jacko, & A. Sears, (Eds). In Extended Abstracts of the ACM Conference on Human Factors in Computing System, 163-164, (2001).
[17]
{17} Navarro-Prieto, R., Scaife, M., & Rogers, Y. Cognitive strategies in web searching. Proceedings of the 5th Conference on Human Factors & the Web. Gaithersburg, USA, 43-56, (1999).
[18]
{18} Pejtersen, A. M., & Fidel, R. A framework for work centered evaluation and design: A case study of IR on the web - working paper. MIRA Workshop, Department of Computing Science, University of Glasgow. (1999).
[19]
{19} PEW. Searching for Health Information. in Pew Internet and American Life Project, available at http://www.pewinternet.org/reports/reports.asp?Report=64&Section=ReportLevel1&Field=Level1ID &ID=288
[20]
{20} Spink, A. and Gunar, O. E-Commerce Web Queries: Excite and Ask Jeeves Study. In First Monday, 2001 6(7).
[21]
{21} Spink, A., Jansen, B.J, Wolfram D. & Saracevic, T. From E-Sex to E-Commerce: Web search changes
[22]
{22} Spiteri,. L.F. Access to electronic commerce sites on the World Wide Web: an analysis of the effectiveness of six Internet search engines. Journal of Information Science, 26, 3 (2000), 173-183.
[23]
{23} Vogt, C.A. & Fesenmaier, D.R. Expanding the functional information search model. Annals of Tourism Research, 25, 3 (1998), 551-578.
[24]
{24} Weber, K & Roehl, W. S. Profiling people searching for and purchasing travel products on the World Wide Web. Journal of Travel Research, 37 (1999), 291-298.
[25]
{25} Wu, BG, and Li, J. Comparing Web search engine performance in searching consumer health information: evaluation and recommendations. Bulletin of the Medical Library Association, 87, 4 (1999), 456-461.

Cited By

View all
  • (2017)How collaborators make sense of tasks togetherJournal of the Association for Information Science and Technology10.5555/3192790.319279768:3(609-622)Online publication date: 1-Mar-2017
  • (2016)Exploring information interactions in the context of GoogleJournal of the Association for Information Science and Technology10.1002/asi.2344367:4(824-840)Online publication date: 1-Apr-2016
  • (2012)Search, interruptedProceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval10.1145/2348283.2348328(315-324)Online publication date: 12-Aug-2012
  • Show More Cited By

Recommendations

Reviews

Donald Harris Kraft

An interesting study of Web searching behavior, exploring the effects of domain on searching, is presented in this paper. A relatively small sample of 48 Canadian adults-all relatively young, well educated, and experienced, but with moderate experience as Web searchers-was selected. The members of the sample group were given a set of queries to search on, using a slightly modified Google interface. The queries were in the domains of consumer health, general research, shopping, and travel, with specific problem statements coming from the interactive track of the Tenth Annual Text Retrieval Conference (TREC). Some of the queries, assigned statistically, had portions that allowed users to personalize the problem statement. Users could search with keywords or use the Google categories. The authors collected data on the demographics of the searchers, and on pre- and post-search evaluations based on questionnaires. They also used audiotape to record semistructured interviews with the searchers. In addition, they used transaction log analysis to record the titles and uniform resource locators (URLs) of visited sites, the keystrokes entered, and time stamps. Finally, they used screen capture software to record video of the search process. The authors' analysis revealed some interesting results, including modest but statistically significant differences across domains, with regard to efficiency (time in search states). For example, queries in the research domain caused more printing than in the shopping domain. Moreover, the searchers spent less time using categories in the research domain than in the travel domain, and more time looking at site contents in the shopping and travel domains than in the other two domains. There were similar findings for effectiveness measures. Pages found in the travel domain tended to be less about the topic than those found in the research domain, and searchers seemed less certain about the quality of the answers in the shopping domain. In addition, the searchers seemed to find searching the shopping domain to be more difficult and less satisfying. In terms of search strategy, categories were used less in the consumer health and research domains. The authors note that this might be because of an inherent bias in the interface toward the use of queries rather than categories. The authors provide a detailed discussion of the search processes in the various domains. The bottom line is that domain differences exist, and should be the subject of further analysis. The importance of this finding is noted by the authors, who discuss improvements in the interface for each domain. For example, in consumer health, entries on the hit list could indicate the level (medical professional or layperson) and scope (brief overview or detailed discussion) of a site, and the source of the information (research center or pharmaceutical company) could connect medical terms to their everyday equivalents, and could find means to limit the search results based on these factors. All in all, this is an important, exploratory, user-oriented study that deserves attention. Online Computing Reviews Service

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cover image DL Hosted proceedings
CASCON '03: Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
October 2003
352 pages

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IBM Press

Publication History

Published: 06 October 2003

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Overall Acceptance Rate 24 of 90 submissions, 27%

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Cited By

View all
  • (2017)How collaborators make sense of tasks togetherJournal of the Association for Information Science and Technology10.5555/3192790.319279768:3(609-622)Online publication date: 1-Mar-2017
  • (2016)Exploring information interactions in the context of GoogleJournal of the Association for Information Science and Technology10.1002/asi.2344367:4(824-840)Online publication date: 1-Apr-2016
  • (2012)Search, interruptedProceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval10.1145/2348283.2348328(315-324)Online publication date: 12-Aug-2012
  • (2010)Supporting semantic navigationProceedings of the third symposium on Information interaction in context10.1145/1840784.1840839(359-364)Online publication date: 18-Aug-2010
  • (2008)Users can change their web search tacticsInformation Processing and Management: an International Journal10.1016/j.ipm.2007.07.01444:2(463-484)Online publication date: 1-Mar-2008
  • (2005)Searching for relevance in the relevance of searchProceedings of the 5th international conference on Context: conceptions of Library and Information Sciences10.1007/11495222_7(59-78)Online publication date: 4-Jun-2005

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