Information-seeking on the Web: Effects of user and task variables

Abstract This study investigates how cognitive style (field dependence vs. field independence), online database search experience (novice vs. experienced searchers), and task type (known-item vs. subject search tasks) influence users’ search behavior on the Web. Forty-eight undergraduate students participated in this study. The participants were divided into four groups according to cognitive style and online database search experience. Each participant searched for information on a university Web site to complete two differing search tasks. The time spent and the number of nodes visited in retrieving information were used to measure users' search performance. The choice of navigation tools was examined to determine users' search and navigational style. It was found that online search experience and cognitive style interacted and influenced search performance, as well as navigational style. Online search experience also interacted with task type to influence navigational style and the number of nodes visited. The article concludes with suggestions for improving Web interfaces and Web-user training programs.

[1]  C. A. Moore,et al.  Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications , 1977 .

[2]  William Sugar.  User-Centered Perspective of Information Retrieval Research and Analysis Methods. , 1995 .

[3]  Gary Marchionini.  Information-seeking strategies of novices using a full-text electronic encyclopedia , 1989 .

[4]  John T. Stasko,et al.  Using Graphic History in Browsing the World Wide Web , 1995, World Wide Web J..

[5]  H. A. Witkin.  THE ROLE OF COGNITIVE STYLE IN ACADEMIC PERFORMANCE AND IN TEACHER‐STUDENT RELATIONS12 , 1973 .

[6]  Dennis Shasha,et al.  To link or not to link? Empirical guidance for the design of nonlinear text systems , 1989 .

[7]  Carol H. Fenichel,et al.  Online searching: Measures that discriminate among users with different types of experiences , 1981, J. Am. Soc. Inf. Sci..

[8]  E. T. Hewins.  Information need and use studies , 1990 .

[9]  Kyung-Sun Kim,et al.  Cognitive style and on-line database search experience as predictors of Web search performance , 2000, J. Am. Soc. Inf. Sci..

[10]  Christine L. Borgman.  The User's Mental Model of an Information Retrieval System: An Experiment on a Prototype Online Catalog , 1986, Int. J. Man Mach. Stud..

[11]  Jörg M. Haake,et al.  Hypermedia and cognition: designing for comprehension , 1995, CACM.

[12]  Richard J. Koubek,et al.  An empirical evaluation of knowledge, cognitive style, and structure upon the performance of a hypertext task , 1994, Int. J. Hum. Comput. Interact..

[13]  Joseph R. Matthews,et al.  Using Online Catalogs: A Nationwide Survey , 1983 .

[14]  W. M. Reed,et al.  The relationship between the learning strategies and learning styles in a hypermedia environment , 1994 .

[15]  B. Dervin,et al.  Information needs and uses. , 1986 .

[16]  Jakob Nielsen,et al.  The matters that really matter for hypertext usability , 1989, Hypertext.

[17]  David Ellis,et al.  Hypertext and learning styles , 1993 .

[18]  Liwen Qiu,et al.  Analytical Searching vs. Browsing in Hypertext Information Retrieval Systems. , 1993 .

[19]  Liwen Qiu,et al.  Markov Models of Search State Patterns in a Hypertext Information Retrieval System , 1993, J. Am. Soc. Inf. Sci..

[20]  Ingrid Hsieh-Yee,et al.  Effects of Search Experience and Subject Knowledge on the Search Tactics of Novice and Experienced Searchers. , 1993 .

[21]  Andy Cockburn,et al.  Which way now? Analysing and easing inadequacies in WWW navigation , 1996, Int. J. Hum. Comput. Stud..