Toolglass and magic lenses: the see-through interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
Enhanced Illustration Using Magic Lens Filters
IEEE Computer Graphics and Applications
The Generalized Detail-In-Context Problem
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
ThemeRiver: Visualizing Theme Changes over Time
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
A Taxonomy of Visualization Techniques Using the Data State Reference Model
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
An annotation system for 3D fluid flow visualization
VIS '94 Proceedings of the conference on Visualization '94
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Fisheye Tree Views and Lenses for Graph Visualization
IV '06 Proceedings of the conference on Information Visualization
Enabling Automatic Clutter Reduction in Parallel Coordinate Plots
IEEE Transactions on Visualization and Computer Graphics
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
Tangible views for information visualization
ACM International Conference on Interactive Tabletops and Surfaces
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Focus + context techniques are widely used for the efficient visualization of large data sets. However, the corresponding adaptation of the representation to the task at hand is not trivial, requiring a suitable model of the visualization goal. One type of focus + context technique is the use of lenses, interactive tools that modify the visualization in a locally confined region and can be 'stacked' to create complex filters. In this paper we propose a new approach to intergrate smart lensesinto the visualization process based on Chi's Data State Reference Model.This allows us to automatically adapt specific aspects of the visualization based on relevant influence factors, without complex task modeling.