Envisioning information
Guidelines for using multiple views in information visualization
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Turning pictures into numbers: extracting and generating information from complex visualizations
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
On Encouraging Multiple Views for Visualisation
IV '98 Proceedings of the International Conference on Information Visualisation
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Empirical comparison of dynamic query sliders and brushing histograms
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
The Perceptual Scalability of Visualization
IEEE Transactions on Visualization and Computer Graphics
Beyond visual acuity: the perceptual scalability of information visualizations for large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards visual analysis of usability test logs using task models
TAMODIA'06 Proceedings of the 5th international conference on Task models and diagrams for users interface design
Measuring effectiveness of graph visualizations: a cognitive load perspective
Information Visualization
Human-centered visualization environments
Human-centered visualization environments
On open problems in biological network visualization
GD'09 Proceedings of the 17th international conference on Graph Drawing
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Designers of information visualization systems have the choice to present information in a single integrated view or in multiple views. In practice, there is a continuum between the two strategies and designers must decide how much of each strategy to apply. Although high-level design guidelines (heuristics) are available, there are few low-level perceptual design guidelines for making this decision. We performed a controlled experiment with one, two, and four views to evaluate the strengths and weaknesses of these strategies on target detection and trend finding tasks in the context of multidimensional glyphs overlaid onto geographic maps. Results from the target detection tasks suggest that visual encoding is a more important factor when detecting a single attribute than the number of views. Additionally, for detecting two attributes, the trend indicates that reusing the most perceptually salient visual feature in multiple views provides faster performance than an integrated view that must map one of the attributes to a less salient feature.