The need for metrics in visual information analysis
NPIV '97 Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation
Readings in information visualization
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Metrics for effective information visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
The structure of the information visualization design space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Information Content Measures of Visual Displays
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
IEEE Computer Graphics and Applications
Graph-Based Abstraction for Privacy Preserving Manifold Visualization
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
XmdvtoolQ:: quality-aware interactive data exploration
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
IEEE Transactions on Visualization and Computer Graphics
An Information-Theoretic View of Visual Analytics
IEEE Computer Graphics and Applications
On evaluating information visualization techniques
Proceedings of the Working Conference on Advanced Visual Interfaces
Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics
IEEE Transactions on Visualization and Computer Graphics
Visual Thinking: for Design
Pargnostics: Screen-Space Metrics for Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
An Information-theoretic Framework for Visualization
IEEE Transactions on Visualization and Computer Graphics
Adaptive Privacy-Preserving Visualization Using Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Conceptualizing Visual Uncertainty in Parallel Coordinates
Computer Graphics Forum
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Visualization research focuses either on the transformation steps necessary to create a visualization from data, or on the perception of structures after they have been shown on the screen. We argue that an end-to-end approach is necessary that tracks the data all the way through the required steps, and provides ways of measuring the impact of any of the transformations. By feeding that information back into the pipeline, visualization systems will be able to adapt the display to the data being shown, the parameters of the output device, and even the user.