Effects of Text Structure and Prior Knowledge of the Learner on Navigation in Hypertext
- 1 March 1998
- journal article
- Published by SAGE Publications in Human Factors: The Journal of the Human Factors and Ergonomics Society
- Vol. 40 (1) , 18-27
- https://doi.org/10.1518/001872098779480541
Abstract
In this study we examined the effects of 3 hypertext topologies—hierarchical, nonlinear, and mixed (hierarchical structure with cross referential links)—on the navigation performance of participants with high and low prior knowledge of the text topic. After reading the text, participants used the document to find the answers to 10 questions. After a filled distraction period, participants returned to the document to answer 10 more questions. The results showed that participants in the mixed condition performed better than those in the other 2 conditions and that the performance of knowledgeable participants was superior to that of nonknowledgeable participants. These results are discussed in relation to the ways in which text structure interacts with background knowledge of the user in enhancing or impeding performance. Actual or potential applications of this research include the design and implementation of hypertext systems for users with different levels of familiarity with the subject matter of the text.Keywords
This publication has 6 references indexed in Scilit:
- Disorientation in hypertext: the effects of three text structures on navigation performanceApplied Ergonomics, 1996
- Spatial metaphors and disorientation in hypertext browsingBehaviour & Information Technology, 1995
- Navigation in the Computer Medium: A Cognitive AnalysisProceedings of the Human Factors and Ergonomics Society Annual Meeting, 1994
- The Influence of Hypertext Linking Structures on the Efficiency of Information RetrievalHuman Factors: The Journal of the Human Factors and Ergonomics Society, 1992
- Hypermedia and learning: Who guides whom?Lecture Notes in Computer Science, 1989
- Visual momentum: a concept to improve the cognitive coupling of person and computerInternational Journal of Man-Machine Studies, 1984