Evaluating stereo and motion cues for visualizing information nets in three dimensions
ACM Transactions on Graphics (TOG)
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Empirical evaluation of information visualizations: an introduction
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Evaluating visualizations: using a taxonomic guide
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Conveying the 3D Shape of Smoothly Curving Transparent Surfaces via Texture
IEEE Transactions on Visualization and Computer Graphics
Robust estimation of multiple surface shapes from occluded textures
ISCV '95 Proceedings of the International Symposium on Computer Vision
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
Comparing 2D Vector Field Visualization Methods: A User Study
IEEE Transactions on Visualization and Computer Graphics
Artistic Collaboration in Designing VR Visualizations
IEEE Computer Graphics and Applications
Reevaluating stereo and motion cues for visualizing graphs in three dimensions
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
Perceptually optimizing textures for layered surfaces
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
A method for the perceptual optimization of complex visualizations
Proceedings of the Working Conference on Advanced Visual Interfaces
IEEE Transactions on Visualization and Computer Graphics
Grid With a View: Optimal Texturing for Perception of Layered Surface Shape
IEEE Transactions on Visualization and Computer Graphics
Conjoint Analysis to Measure the Perceived Quality in Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Factors influencing the choice of projection textures for displaying layered surfaces
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
Investigating flow visualizations using interactive design space hill climbing
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Evaluating 2D and 3D visualizations of spatiotemporal information
ACM Transactions on Applied Perception (TAP)
Journal of Visual Languages and Computing
An evaluation of glyph perception for real symmetric traceless tensor properties
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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This paper proposes a new experimental framework within which evidence regarding the perceptual characteristics of a visualization method can be collected, and describes how this evidence can be explored to discover principles and insights to guide the design of perceptually near-optimal visualizations. We make the case that each of the current approaches for evaluating visualizations is limited in what it can tell us about optimal tuning and visual design. We go on to argue that our new approach is better suited to optimizing the kinds of complex visual displays that are commonly created in visualization. Our method uses human-in-the-loop experiments to selectively search through the parameter space of a visualization method, generating large databases of rated visualization solutions. Data mining is then used to extract results from the database, ranging from highly specific exemplar visualizations for a particular data set, to more broadly applicable guidelines for visualization design. We illustrate our approach using a recent study of optimal texturing for layered surfaces viewed in stereo and in motion. We show that a genetic algorithm is a valuable way of guiding the human-in-the-loop search through visualization parameter space. We also demonstrate several useful data mining methods including clustering, principal component analysis, neural networks, and statistical comparisons of functions of parameters.