Jessie Chin
ABSTRACT
Previous research has shown that older adults performed worse in web search tasks, and attributed poorer performance to a decline in their cognitive abilities. We conducted a study involving younger and older adults to compare their web search behavior and performance in ill-defined and well-defined information tasks using a health information website. In ill-defined tasks, only a general description about information needs was given, while in well-defined tasks, information needs as well as the specific target information were given. We found that older adults performed worse than younger adults in well-defined tasks, but the reverse was true in ill-defined tasks. Older adults compensated for their lower cognitive abilities by adopting a top-down knowledge-driven strategy to achieve the same level of performance in the ill-defined tasks. Indeed, path models showed that cognitive abilities, health literacy, and knowledge influenced search strategies adopted by older and younger adults. Design implications are also discussed.
- Baker, D.W., M.V. Williams, R.M. Parker, J.A. Gazmararian, and J. Nurss, Development of a Brief Test to Measure Functional Health Literacy. Patient Education and Counseling, (1999), 38, 33--42.Google Scholar
Cross Ref
- Bass, S.B., How Will Internet Use Affect the Patient? A Review of Computer Network and Closed Internet-Based System Studies and the Implications in Understanding How the Use of the Internet Affects Patient Populations. Journal of Health Psychology, (2003), 8, 25--38.Google Scholar
- Brumby, D.P. and A. Howes, Strategies for Guiding Interactive Search: An Empirical Investigation into the Consequences of Label Relevance for Assessment and Selection. Human-Computer Interaction, (2008), 23, 1--46.Google Scholar
- Cohen, J., P. Cohen, W. S., and L.S. Aiken, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. 2003, New Jersey, NJ: Lawrence Erlbaum.Google Scholar
- Corsi, P.M., Human Memory and the Medial Temporal Region of the Brain. Dissertation Abstracts International, (1972), 34, 2.Google Scholar
- Czaja, S.J., N. Charness, A. Fisk, C. Hertzog, S. Nari, W. Rogers, and J. Sharit, Factors Predicting the Use of Technology: Findings from the Center for Research Andeducation on Aging and Technology Enhancement (Create). Psych Aging, (2006), 21, 333--352.Google ScholarCross Ref
- Czaja, S.J. and C.C. Lee, The Internet and Older Adults: Design Challenges and Opportunities, in Communication, Technology and Aging, N. Charness, D.C. Parks, and B.A. Sabel, Editors. 2001, Springer: New York.Google Scholar
- Czaja, S.J., J. Sharit, R. Ownby, D. Roth, and S. Nair, Examining Age Differences in Performance of a Complex Information Search and Retrieval Task. Psych Aging, (2001), 16, 564--579.Google ScholarCross Ref
- Davis, T.C., S.W. Long, R.H. Jackson, E.J. Mayeaux, and R.B. George, Rapid Estimate of Adult Literacy in Medicine: A Shortened Screening Instrument. Family Medicine, (1993), 25, 391--395.Google Scholar
- Ekstrom, R.B., J.W. French, H.H. Harmon, and Dermen, Manual for the Kit of Factor-Referenced Cognitive Tests. 1976, Princeton, NJ: Educational Testing Service.Google Scholar
- Fairweather, P. How Older and Younger Adults Differ in Their Approach to Problem Solving on a Complex Website. in Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility. (2008). Halifax, Nova Scotia, Canada. Google ScholarDigital Library
- Fisk, A.D., W.A. Rogers, N. Charness, S.J. Czaja, and J. Sharit, Designing for Older Adults-Principles and Creative Human Factors Approaches. 2004, Washington, D. C.: CRC Press.Google Scholar
- Fox, S. Online Health Search 2006. 2006 {cited 2008 September, 15}.Google Scholar
- Gazmararian, J.A., M.V. Williams, J. Peel, and D.W. Baker, Health Literacy and Knowledge of Chronic Disease. Patient education and counseling, (2003), 51, 267--275.Google Scholar
- Lavie, N., Perceptual Load as a Necessary Condition for Selective Attention. Journal of Experimental Psychology: Human Perception and Performance, (1995), 21, 3 451--468.Google Scholar
- McLeod, D.R., R.R. Griffiths, G.E. Bigelow, and J. Yingling, An Automated Version of the Digit Symbol Substitution Test (Dsst). Behavior Research Methods, Instruments,&Computers, (1982), 14, 463--466.Google Scholar
- Ratzan, S.C. and R.M. Parker, Introduction, in National Library of Medicine Current Bibliographies in Medicine: Health Literacy, C.R. Selden, et al., Editors. 2000, National Institute of Health, U. S. Department of Health and Human Services: Bethesda, MD.Google Scholar
- Salthouse, T.A., Mediation of Adult Age Differences in Cognition by Reductions in Working Memory and Speed of Processing. Psychological Science, (1991), 2, 179--183.Google Scholar
- Sharit, J., S. Czaja, M. Hernadez, Y. Yang, D. Perdomo, J. Lewis, C. Lee, and S. Nair, An Evaluation of Performance by Older Persons on a Simulated Telecommuting Task. Journal of Gerontology:Psychological Science, (2004), 59B, 305--316.Google Scholar
- Sharit, J., M. Hernandez, S. Czaja, and P. Pirolli, Investigating the Roles of Knowledge and Cognitive Abilities in Older Adult Information Seeking on the Web. ACM Transactions on Computer-Human Interaction, (2008), 15, 11--25. Google ScholarDigital Library
- Simon, H.A., The Structure of Ill-Structured Problems. Artificial Intelligence, (1973), 4, 181--204.Google Scholar
- Stine-Morrow, E.A.L., L.M.S. Miller, D.D. Gagne, and C. Hertzog, Self-Regulated Reading in Adulthood. Psychology and Aging, (2008), 23, 1, 131--153.Google ScholarCross Ref
- Sutcliffe, A. and M. Ennis, Towards a Cognitive Theory of Information Retrieval. Interacting with computers, (1998), 10, 321--351.Google Scholar
- Unsworth, N., R. Heitz, J. Schrock, and R. Engle, An Automated Version of the Operation Span Task. Behavior Research Methods, (2005), 37, 498--505.Google ScholarCross Ref
Index Terms
- Adaptive information search: age-dependent interactions between cognitive profiles and strategies
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