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Disorientation in hypertext: the effects of three text structures on navigation performance.
1Department of Psychology, University of Durham, Durham, DH1 3LE, UK.
Applied Ergonomics
|February 1, 1996
Summary
Linear hypertext navigation outperformed non-linear designs. Hierarchical hypertext fell in between, impacting user performance and learning system design.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Educational Technology
Background:
- Hypertext systems offer non-linear information access, potentially impacting user navigation and learning.
- Understanding the cognitive load and efficiency of different hypertext structures is crucial for effective digital learning environments.
Purpose of the Study:
- To compare navigation performance across three hypertext topologies: linear, hierarchical, and non-linear.
- To evaluate the impact of these topologies on information retrieval speed and accuracy.
- To assess user perceptions of performance and usability in different hypertext environments.
Main Methods:
- Participants navigated three versions of a document (linear, hierarchical, non-linear) to answer questions and locate specific nodes.
- Navigation speed and accuracy were quantitatively measured.
- Post-task questionnaires assessed subjective user experience and perceived performance.
Main Results:
- Linear hypertext resulted in significantly better navigation performance (speed and accuracy) compared to non-linear hypertext.
- Hierarchical hypertext performance was intermediate between linear and non-linear structures.
- Subjective evaluations corroborated the objective performance findings, indicating a preference for more structured navigation.
Conclusions:
- Linear and hierarchical hypertext structures facilitate more efficient information navigation than purely non-linear designs.
- Findings have implications for the design of computer-assisted learning systems, suggesting that structured navigation aids user comprehension and efficiency.
- Further research could explore adaptive hypertext systems that adjust topology based on user needs.