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.
- {1} A Student's Guide to Research with the WWW. (http://www.slu.edu/departments/english/research).Google Scholar
- {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 Google ScholarDigital Library
- {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. Google ScholarDigital Library
- {4} Broder, A. A taxonomy of Web search. SIGIR Forum, 2002. 36(2). Google ScholarDigital Library
- {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. Google ScholarDigital Library
- {6} Fodness, D. & Murray, B. A typology of tourist information search strategies. Journal of Travel Research, 37, (1998), 108-119.Google ScholarCross Ref
- {7} Fodness, D and Murray, B. A model of tourist information search behavior. Journal of Travel Research 37, (1999), 220-230.Google ScholarCross Ref
- {8} Gursoy, D. Development of a Traveler's Information Search Behavior Model. Unpublished Doctoral Dissertation, Virginia Polytechnic Institute, 2001.Google Scholar
- {9} Hoelscher, C., & Strube, G. Web search behavior of Internet experts and newbies. Computer Networks, 33, (2000), 337-346. Google ScholarDigital Library
- {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.Google ScholarCross Ref
- {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. Google ScholarDigital Library
- {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.Google Scholar
- {13} Lawrence, S and Giles C.L. Searching the World Wide Web. Science, 280, (1998), 98-100.Google Scholar
- {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. Google ScholarDigital Library
- {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.Google ScholarCross Ref
- {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). Google ScholarDigital Library
- {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).Google Scholar
- {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).Google Scholar
- {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=288Google Scholar
- {20} Spink, A. and Gunar, O. E-Commerce Web Queries: Excite and Ask Jeeves Study. In First Monday, 2001 6(7).Google ScholarCross Ref
- {21} Spink, A., Jansen, B.J, Wolfram D. & Saracevic, T. From E-Sex to E-Commerce: Web search changes Google ScholarDigital Library
- {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.Google ScholarCross Ref
- {23} Vogt, C.A. & Fesenmaier, D.R. Expanding the functional information search model. Annals of Tourism Research, 25, 3 (1998), 551-578.Google ScholarCross Ref
- {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.Google ScholarCross Ref
- {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.Google Scholar
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