Although information searching in hypermedia environments has become a new important problem solving capability, there is not much known about what types of individual characteristics constitute a successful information search behavior. This study mainly investigated which of the 2 factors, 1) natural characteristics (cognitive style), and 2) acquired knowledge (domain knowledge) had a stronger influence on search behavior, and what types of impact these had on search activities. To examine search behavior, the search outcome precision, the searching time, the number of URL nodes, and the number of keywords were analyzed and the demographic backgrounds including the searching experience and gender were also measured to discover any correlation with the major variables. The study findings suggest that domain knowledge was not associated with any other search activities but affected only the search precision. Cognitive style meanwhile did not affect search precision but interacted with the searching experience and this interaction affected the total length of searching time. Finally, there was no correlation found between 2 variables: domain knowledge and cognitive style.
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References
1.
AllinsonC. W., & HayesJ. (1996). The cognitive style index: A measure of intuition analysis for organizational research. Journal of Management Studies, 33(1), 119–135.
2.
AllinsonC. W., & HayesJ. (1997). Learning styles and training and development in work Settings: Lessons from educational research. Educational Psychology, 17(1&2), 185–193.
3.
BorgmanC. L. (1989). All users of information retrieval systems are not created equal: An exploration into individual differences. Information Processing & Management, 2(3), 237–251.
4.
BorgmanC. L.HirshS. G.WalterV. A., & GallagherA. L. (1995). Children's searching behavior on browsing and keyword online catalogs: The science library catalog project. Journal of the American Society for Information Science, 46(9), 663–684.
5.
CarlandJ. W. (1982). Entrepreneurship in a small business setting: An exploratory study. Unpublished doctoral dissertation, University of Georgia, Athens, GA.
6.
ChenS., & MacredieR. D. (2002). Cognitive styles and hypermedia navigation: Development of a learning model. Journal of the American Society for Information Science and Technology, 53(1), 3–15.
7.
FenichelC. (1980). An examination of the relationship between searching behavior and searcher background. Online Review, 4(4), 341–347.
8.
FordN., & ChenS. Y. (2000). Individual differences, hypermedia navigation, and learning: An empirical study. Journal of Educational Multimedia and Hypermedia, 9(4), 281–311.
9.
Grace-MartinM., & GayG. (2001). Web browsing, mobile computing and academic performance. Educational Technology & Society, 4(3), 95–107.
10.
HayesJ., & AllinsonC. W. (1998). Cognitive style and the theory and practice of individual and collective learning in organizations. Human Relations, 51(7), 847–871.
11.
JohnD., & BoucouvalasA. C. (2002, June). The effect of the visual-auditory dimension of cognitive style. Paper presented at the Information Technology Interfaces (ITI) Annual Meeting, Cavtat, Croatia.
12.
JonassenD. H. (1992). Designing hypertext for learning. Proceedings of the NATO Advanced Research Workshop, 1, 123–130.
13.
KimC. (2002). Predicting information searching performance with measures of cognitive diversity. Unpublished doctoral dissertation, University of Wisconsin, Madison, WI.
14.
KimK., & AllenB. (2002). Cognitive and task influences on Web searching behavior. Journal of the American Society for Information Science and Technology, 53(2), 109–119.
15.
LeaderL. F., & KleinJ. D. (1996). The effects of search tool type and cognitive style on performance during hypermedia database searches. Educational Technology Research and Development, 44(4), 5–15.
16.
LielsonJ. (1995). Multimedia and hypertext: The Internet and beyond.Cambridge, MA: Academic Press.
17.
LiuY., & GintherD. (1999). Cognitive styles and distance education. The Online Journal of Distance Learning Administration. [On-line] 2(3).
18.
LiuM., & ReedW. M. (1994). The relationship between the learning strategies and learning styles in hypermedia environment. Computers in Human Behavior, 10(4), 419–434.
19.
MarchioniniG.DwigginsS.KatzA., & LinX. (1993). Information seeking in full-text end-user-oriented search systems: The roles of domain and search expertise. Library and Information Science Research, 15(1), 35–69.
20.
MessickS. (Ed). (1976). Individuality in learning.San Francisco: Jossey-Bass.
MinerJ. B. (1997). A Psychological typology of successful entrepreneurs.London: Quorum Books.
23.
MyersI. B. (1962). The Myers-Briggs type indicator manual.Princeton, NJ: Educational Testing Service.
24.
OlsonP. D. (1985). Entrepreneurship: Process and abilities. Entrepreneurship Theory and Practice, 10(1), 25–32.
25.
OrnsteinR. E. (1977). The Psychology of consciousness.New York: Harcourt Brace.
26.
PalmquistP., & KimK. (2000). Cognitive style and on-line database search experience as predictors of web search performance. Journal of the American Society for Information Science and Technology, 51(6), 558–566.
RidingR. J. (1991). Cognitive styles analysis: Users' manual.Birmingham, UK: Learning and Training Technology.
29.
RodriguezM. M. (2001). Matching cognitive style to Web-based instruction. Unpublished doctoral dissertation, University of Central Florida, Orlando, FL.
30.
RoyM., & ChiM. (2003). Gender differences in patterns of searching the Web. Journal of Educational Computing Research, 29(3), 335–348.
31.
SmithR. M., & RenzulliJ. S. (1984). Learning style preferences: A practical approach for classroom teachers. Theory into Practice, 23(1), 44–50.
32.
StraussA. L., & CorbinJ. (1990). Basics of qualitative research: Grounded theory procedures and techniques.Thousand Oaks, CA: Sage.
33.
ZhangX., & ChignellM. (2001). Assessment of the effects of user characteristics on mental models of information retrieval systems. Journal of the American Society for Information Science and Technology, 52(6), 445–459.
