The visual display of quantitative information
The visual display of quantitative information
Visual information foraging in a focus + context visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
User Studies: Why, How, and When?
IEEE Computer Graphics and Applications
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
Comparing 2D Vector Field Visualization Methods: A User Study
IEEE Transactions on Visualization and Computer Graphics
Liver Surgery Planning Using Virtual Reality
IEEE Computer Graphics and Applications
A basis for efficient representation of the S-transform
Digital Signal Processing
Computers in Human Behavior
Galvanic skin response (GSR) as an index of cognitive load
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Working memory: The interface between memory and cognition
Journal of Cognitive Neuroscience
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
IEEE Transactions on Visualization and Computer Graphics
Effects of 10 hz rtms on the neural efficiency of working memory
Journal of Cognitive Neuroscience
Visualizing summary statistics and uncertainty
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
EEG analysis of implicit human visual perception
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using fNIRS brain sensing to evaluate information visualization interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ExPlates: spatializing interactive analysis to scaffold visual exploration
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Effectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which brain activity is passively recorded using electroencephalography (EEG). These measurements are used to compare different visualization techniques in terms of the burden they place on a viewer's cognitive resources. In this paper, EEG signals and response times are recorded while users interpret different representations of data distributions. This information is processed to provide insight into the cognitive load imposed on the viewer. This paper describes the design of the user study performed, the extraction of cognitive load measures from EEG data, and how those measures are used to quantitatively evaluate the effectiveness of visualizations.