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Generalized fisheye views
Open accessAbstract
In many contexts, humans often represent their own “neighborhood” in great detail, yet only major landmarks further away. This suggests that such views (“fisheye views”) might be useful for the computer display of large information structures like programs, data bases, online text, etc. This paper explores fisheye views presenting, in turn, naturalistic studies, a general formalism, a specific instantiation, a resulting computer program, example displays and an evaluation.
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Citations
Cited by
Methods and techniques of adaptive hypermedia
Brusilovsky, P. (1996) · User Modeling and User-Adapted Interaction · doi:10.1007/bf00143964 · Cited by 2,041
Graph visualization and navigation in information visualization: A survey
Herman, I., Melancon, G., & Marshall, M. S. (2000) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.841119 · Cited by 1,538
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
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
Shneiderman, B. (2003) · The Craft of Information Visualization · doi:10.1016/b978-155860915-0/50046-9 · Cited by 515
The Nature of Landmarks for Real and Electronic Spaces
Sorrows, M. E., & Hirtle, S. C. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48384-5_3 · Cited by 478
Metadata
- Authors
- Furnas, G. W.
- Venue
- ACM SIGCHI Bulletin
- Published
- 1986-04
- Volume
- 17
- Issue
- 4
- Pages
- 16-23
- ISSN
- 0736-6906 (ISSN-L)
- OpenAlex
- W2161581092
- Cited by
- 1,629
- References
- 0
- FWCI
- 25.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Furnas, G. W. (1986). Generalized fisheye views. ACM SIGCHI Bulletin. https://doi.org/10.1145/22339.22342
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
