Web-Based Information Search and Retrieval: Effects of Strategy Use and Age on Search Success

Abstract

Objective: The purpose of this study was to investigate the relationship between strategy use and search success on the World Wide Web (i.e., the Web) for experienced Web users. An additional goal was to extend understanding of how the age of the searcher may influence strategy use. Background: Current investigations of information search and retrieval on the Web have provided an incomplete picture of Web strategy use because participants have not been given the opportunity to demonstrate their knowledge of Web strategies while also searching for information on the Web. Methods: Using both behavioral and knowledge-engineering methods, we investigated searching behavior and system knowledge for 16 younger adults (M = 20.88 years of age) and 16 older adults (M = 67.88 years). Results: Older adults were less successful than younger adults in finding correct answers to the search tasks. Knowledge engineering revealed that the age-related effect resulted from ineffective search strategies and amount of Web experience rather than age per se. Our analysis led to the development of a decision-action diagram representing search behavior for both age groups. Conclusion: Older adults had more difficulty than younger adults when searching for information on the Web. However, this difficulty was related to the selection of inefficient search strategies, which may have been attributable to a lack of knowledge about available Web search strategies. Application: Actual or potential applications of this research include training Web users to search more effectively and suggestions to improve the design of search engines.

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References

Catledge, L. D. , & Pitkow, J. E. (1995). Characterising browsing strategies in the World Wide Web. Computer Networks and ISDN Systems, 27, 1065–1073.

Choo, C. W., Detlor, B., & Turnbull, D. (2000). Information seeking on the Web: An integrated model of browsing and searching. Available from First Monday Web site, http://www.firstmonday.org.

Czaja, S. J. , Sharit, J. , Ownby, R. , Roth, D. L. , & Nair, S. (2001). Examining age differences in performance of a complex information search and retrieval task. Psychology and Aging, 16, 564–579.

Denney, N. W. (1989). Everyday problem solving: Methodological issues, research findings, and a model. In L. W. Poon , D. C. Rubin , & B. A. Wilson (Eds.), Everyday cognition in adulthood and late life (pp. 330–351). New York: Cambridge University Press.

Denzin, N. K. , & Lincoln, Y. S. (Eds.). (1998). Collecting and interpreting qualitative materials. Thousand Oaks, CA: Sage.

Ellis, D. (1989). A behavioural model for information retrieval system design. Journal of Information Science, 15, 237–247.

Fisk, A. D. , Rogers, W. A. , Charness, N. , Czaja, S. J. , & Sharit, J. (2004). Designing for older adults: Principles and creative human factors approaches. Boca Raton, FL: CRC Press.

Fuller, R., & De Graaff, J. J. (1996). Measuring user motivation from server log files. Retrieved June 7, 2006, from http://microsoft.com/usability/webconf/fuller/fuller.htm.

Hartley, A. A. , & Anderson, J. W. (1983). Task complexity and problem solving performance in younger and older adults. Journal of Gerontology, 38, 72–77.

10.

Harvey, L. , & Anderson, J. (1996). Transfer of declarative knowledge in complex information-processing domains. Human-Computer Interaction, 11, 69–96.

11.

Huberman, B. A. , Pirolli, P. L. T. , Pitkow, J. E. , & Lukose, R. M. (1998). Strong regularities in World Wide Web surfing. Science, 280, 95–97.

12.

Kinsella, K. , & Velkoff, V.A. (2001). An aging world (U.S. Census Bureau Series P95/011). Washington, DC: U.S. Government Printing Office.

13.

Kubeck, J. E. , Miller-Albrecht, S. A. , & Murphy, M. D. (1999). Finding information on the World Wide Web: Exploring older adults'exploration. Educational Gerontology, 25, 167–183.

14.

Lazonder, A. W. , Biemans, H. J. A. , & Wopereis, I. G. J. H. (2000). Differences between novice and experienced users in searching information on the World Wide Web. Journal of the American Society for Information Science, 51, 576–581.

15.

Liao, C. , Groff, L.S. , Chaparro, A. , Chaparro, B. S. , & Stumpfhauser, L. (2000). A comparison of Web site usage between young adults and the elderly. In Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Society (pp. 4.72–4.75). Santa Monica, CA: Human Factors and Ergonomics Society.

16.

Marchionini, G. (1995). Information seeking in electronic environments. Melbourne, Australia: Cambridge University Press.

17.

Mead, S. E. , & Fisk, A. D. (1998). Measuring skill acquisition and retention with an ATM simulator: The need for age-specific training. Human Factors, 40, 516–523.

18.

Meister, D. (1985). Behavioral analysis and measurement methods. New York: Wiley Interscience.

19.

Morrell, R. W. , Mayhorn, C. B. , & Bennett, J. (2000). A survey of World Wide Web use in middle-aged and older adults. Human Factors, 42, 175–182.

20.

Navarro-Prieto, R., Scaife, M., & Rogers, Y. (1999). Cognitive strategies in Web searching. In Virtual proceedings of the 5th Conference on Human Factors and the Web. Retrieved June 7, 2006, from http://zing.ncsl.nist.gov/hfweb/proceedings/navarroprieto/index.html.

21.

Nielsen, J. (1998). Why Yahoo is good (but may get worse). Retrieved June 7, 2006, from http://www.useit.com/alertbox/981101.html.

22.

Nielsen, J. (2002). Usability for senior citizens. Retrieved June 7, 2006, from http://www.useit.com/alertbox/20020428.html.

23.

Norman, D. A. (1988). The psychology of everyday things. New York: Basic Books.

24.

Pew Internet & American Life Project. (2004a). Older Americans and the Internet. Retrieved June 7, 2006, from http://www.pewinternet.org/PPF/r/117/report_display.asp.

25.

Pew Internet & American Life Project. (2004b). Online activities and pursuits. Retrieved June 7, 2006, from http://www.pewinternet.org/PPF/r/132/report_display.asp.

26.

Pirolli, P. , & Card, S. (1999). Information foraging. Psychological Review, 106, 643–675.

27.

Pitkow, J. E., & Kehoe, C. M. (1998). GVU's 10th WWW user survey. Retrieved June 7, 2006, from http://www.gvu.gatech.edu/user_surveys/survey-1998-10/.

28.

Rogers, W. A. , Meyer, B. , Walker, N. , & Fisk, A. D. (1998). Functional limitations to daily living tasks in the aged: A focus group analysis. Human Factors, 40, 111–125.

29.

Shipley, W. C. (1986) Shipley Institute of Living Scale. Los Angeles: Western Psychological Services.

30.

Stronge, A. J. (2002). Age-related differences in strategies: Investigating problem solving in a complex real-world task. Unpublished master's thesis, Georgia Institute of Technology, Atlanta.

31.

Stronge, A. J. , Rogers, W. A. , & Fisk, A. D. (2002, October). Are there age-related differences in problem solving? Presented at the Human Factors and Ergonomics Society 46th Annual Meeting, Baltimore, MD.

32.

Tauscher, L. , & Greenberg, S. (1997). How people revisit Web pages: Empirical findings and implications for the design of history systems. International Journal of Human-Computer Studies, 47, 97–137.

33.

Thatcher, A. (2000). “Experience” and WWW searching, or the search for the WWW “expert.” In Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Society (pp. 1.372–1.375). Santa Monica, CA: Human Factors and Ergonomics Society.

34.

Thatcher, A. (2001). Information seeking on the WWW: Task interest and search strategies. In Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting (pp. 1171–1175). Santa Monica, CA: Human Factors and Ergonomics Society.

35.

Wechsler, D. (1997) Wechsler Adult Intelligence Scale III (3rd ed.). San Antonio, TX: Psychological Corporation.