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Cited by 4,535

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The eyes have it: a task by data type taxonomy for information visualizations

Shneiderman, B.·2002·Proceedings 1996 IEEE Symposium on Visual Languages
DOI 10.1109/vl.1996.545307
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Abstract

A useful starting point for designing advanced graphical user interfaces is the visual information seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been proposed in recent years. The paper offers a task by data type taxonomy with seven data types (one, two, three dimensional data, temporal and multi dimensional data, and tree and network data) and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts).

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Metadata

Authors
Shneiderman, B.
Venue
Proceedings 1996 IEEE Symposium on Visual Languages
Publisher
IEEE Comput. Soc. Press
Published
2002-12-23
Pages
336-343
DOI
10.1109/vl.1996.545307
OpenAlex
W2138199375
Cited by
4,535
References
1
FWCI
51.88
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The eyes have it: a task by data type taxonomy for information visualizations. https://app.cochat.ai/papers/10.1109/vl.1996.545307
The paper
Shneiderman, B. (2002). The eyes have it: a task by data type taxonomy for information visualizations. Proceedings 1996 IEEE Symposium on Visual Languages. https://doi.org/10.1109/vl.1996.545307

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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.