A model of visual masking for computer graphics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Useful properties of Semantic Depth of Field for better F+C visualization
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Quantitative comparative evaluation of 2D vector field visualization methods
Proceedings of the conference on Visualization '01
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
Discovering Petra: Archaeological Analysis in VR
IEEE Computer Graphics and Applications
Visual interest and NPR: an evaluation and manifesto
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
Comparing 2D Vector Field Visualization Methods: A User Study
IEEE Transactions on Visualization and Computer Graphics
Toward new grounds in visualization
ACM SIGGRAPH Computer Graphics
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
An explorative analysis of user evaluation studies in information visualisation
Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
Ensuring the continuing success of vizsec
Proceedings of the 3rd international workshop on Visualization for computer security
Subjective Quantification of Perceptual Interactions among some 2D Scientific Visualization Methods
IEEE Transactions on Visualization and Computer Graphics
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
White rooms and morphing don't mix: setting and the evaluation of visualization techniques
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Perceptual dependencies in information visualization assessed by complex visual search
ACM Transactions on Applied Perception (TAP)
Show Me How You See: Lessons from Studying Computer Forensics Experts for Visualization
VizSec '08 Proceedings of the 5th international workshop on Visualization for Computer Security
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A user study on visualizing directed edges in graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
Evaluating 2D and 3D visualizations of spatiotemporal information
ACM Transactions on Applied Perception (TAP)
Non-Photorealistic Rendering and the science of art
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
Object displays for identifying multidimensional outliers within a crowded visual periphery
Journal of Visual Communication and Image Representation
Technical Section: Using color in visualization: A survey
Computers and Graphics
Human-centered visualization environments
Human-centered visualization environments
Evaluation of video artifact perception using event-related potentials
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
Comparing benchmark task and insight evaluation methods on timeseries graph visualizations
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
Do Mechanical Turks dream of square pie charts?
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
EEG analysis of implicit human visual perception
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparing averages in time series data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Single-trial EEG classification of artifacts in videos
ACM Transactions on Applied Perception (TAP)
A comparison of benchmark task and insight evaluation methods for information visualization
Information Visualization - Special issue on Evaluation for Information Visualization
Possibilistic model for aggregated search in XML documents
International Journal of Intelligent Information and Database Systems
JVRC'09 Proceedings of the 15th Joint virtual reality Eurographics conference on Virtual Environments
Evaluation of cluster identification performance for different PCP variants
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
A salience-based quality metric for visualization
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Visual reconstructability as a quality metric for flow visualization
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
A user study of visualization effectiveness using EEG and cognitive load
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
An evaluation of visualization techniques to illustrate statistical deformation models
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Evaluating visualization using cognitive measures
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization
Evaluation of attention-guiding video visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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User studies offer a scientifically sound method to measure a visualization's performance. Reasons abound for pursuing user studies, particularly when evaluating the strengths and weaknesses of different visualization techniques. A good starting point in any study is the scientific or visual design question to be examined. This drives the process of experimental design. A poorly designed experiment will yield results of only limited value. Although a comprehensive discussion of experimental design is beyond the scope of the article, we offer suggestions and lessons learned. We also describe how we designed experiments to answer important questions from our own research.