The DOI matches its Crossref record.
Finding facts vs. browsing knowledge in hypertext systems
Abstract
The authors discuss the role of information retrieval, interface design, and cognitive science in hypertext research. They present a user-centered framework for information-seeking that has been used in evaluating two hypertext systems. They apply the framework to key design issues related to information retrieval in hypertext systems.>
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Citations
Cited by
Exploratory search: from finding to understanding
Marchionini, G. (2006) · Communications of the ACM · doi:10.1145/1121949.1121979 · Cited by 1,506
Self-citationKozma, R. B. (1991) · Review of Educational Research · doi:10.3102/00346543061002179 · Cited by 1,429
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103299 · Cited by 1,015
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
Formative design evaluation of superbook
Egan, D. E., Remde, J. R., Gomez, L. M., Landauer, T. K., Eberhardt, J., & Lochbaum, C. C. (1989) · ACM Transactions on Information Systems · doi:10.1145/64789.64790 · Cited by 342
Metadata
- Authors
- Marchionini, G., & Shneiderman, B.
- Venue
- Computer
- Published
- 1988-01
- Volume
- 21
- Issue
- 1
- Pages
- 70-80
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W1980976550
- Cited by
- 442
- References
- 0
- FWCI
- 120.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Finding facts vs. browsing knowledge in hypertext systems. https://app.cochat.ai/papers/10.1109/2.222119
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- Marchionini, G., & Shneiderman, B. (1988). Finding facts vs. browsing knowledge in hypertext systems. Computer. https://doi.org/10.1109/2.222119
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.