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An operator interaction framework for visualization systems
Abstract
Information visualization encounters a wide variety of different data domains. The visualization community has developed representation methods and interactive techniques. As a community, we have realized that the requirements in each domain are often dramatically different. In order to easily apply existing methods, researchers have developed a semiology of graphic representations. We have extended this research into a framework that includes operators and interactions in visualization systems, such as a visualization spreadsheet. We discuss properties of this framework and use it to characterize operations spanning a variety of different visualization techniques. The framework developed in the paper enables a new way of exploring and evaluating the design space of visualization operators, and helps end users in their analysis tasks.
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Cited by
Low-Level Components of Analytic Activity in Information Visualization
Amar, R., Eagan, J., & Stasko, J. (2006) · Proceedings of the 2005 IEEE Symposium on Information Visualization (INFOVIS'05) · doi:10.1109/infovis.2005.24 · Cited by 512
A taxonomy of visualization techniques using the data state reference model
Chi, E. H. (2002) · IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings · doi:10.1109/infvis.2000.885092 · Cited by 466
Self-citationA Review of User Interface Design for Interactive Machine Learning
Dudley, J. J., & Kristensson, P. O. (2018) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3185517 · Cited by 343
Protovis: A Graphical Toolkit for Visualization
Bostock, M., & Heer, J. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.174 · Cited by 321
Willett, W., Jansen, Y., & Dragicevic, P. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598608 · Cited by 267
A Framework of Interaction Costs in Information Visualization
Lam, H. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.109 · Cited by 133
A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
Dimara, E., & Stasko, J. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114813 · Cited by 60
Metadata
- Authors
- Chi, E. H.-H., & Riedl, J. T.
- Venue
- Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-27
- Pages
- 63-70
- OpenAlex
- W1755209849
- Cited by
- 192
- References
- 0
- FWCI
- 5.23
- Type
- conference paper
- Language
- en
- Open access
- closed
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