Visualizing the behavior of higher dimensional dynamical systems
VIS '97 Proceedings of the 8th conference on Visualization '97
Direct Manipulation of Parallel Coordinates
IV '00 Proceedings of the International Conference on Information Visualisation
Using Curves to Enhance Parallel Coordinate Visualisations
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
A Parallel Coordinates Style Interface for Exploratory Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
User Experiments with Tree Visualization Systems
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Exploring Highly Structured Data: A Comparative Study of Stardinates and Parallel Coordinates
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Low-Level Components of Analytic Activity in Information Visualization
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Revealing Structure within Clustered Parallel Coordinates Displays
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Toward Measuring Visualization Insight
IEEE Computer Graphics and Applications
Human perception of structure in shaded space-filling visualizations
Information Visualization
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Enabling Automatic Clutter Reduction in Parallel Coordinate Plots
IEEE Transactions on Visualization and Computer Graphics
Information Visualization
Perceiving relationships: a physiological examination of the perception of scatterplots
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference
A Taxonomy of Visual Cluster Separation Factors
Computer Graphics Forum
Tracing Tuples Across Dimensions: A Comparison of Scatterplots and Parallel Coordinate Plots
Computer Graphics Forum
Evaluation of cluster identification performance for different PCP variants
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
The perception of correlation in scatterplots
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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Scatterplots and parallel coordinate plots (PCPs) that can both be used to assess correlation visually. In this paper, we compare these two visualization methods in a controlled user experiment. More specifically, 25 participants were asked to report observed correlation as a function of the sample correlation under varying conditions of visualization method, sample size and observation time. A statistical model is proposed to describe the correlation judgment process. The accuracy and the bias in the judgments in different conditions are established by interpreting the parameters in this model. A discriminability index is proposed to characterize the performance accuracy in each experimental condition. Moreover, a statistical test is applied to derive whether or not the human sensation scale differs from a theoretically optimal (that is, unbiased) judgment scale. Based on these analyses, we conclude that users can reliably distinguish twice as many different correlation levels when using scatterplots as when using PCPs. We also find that there is a bias towards reporting negative correlations when using PCPs. Therefore, we conclude that scatterplots are more effective than parallel plots in supporting visual correlation analysis.