Single complex glyphs versus multiple simple glyphs

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.

[1]  Jonathan C. Roberts,et al.  On encouraging multiple views for visualization , 1998, Proceedings. 1998 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics (Cat. No.98TB100246).

[2]  Allison Woodruff,et al.  Guidelines for using multiple views in information visualization , 2000, AVI '00.

[3]  Alan M. MacEachren,et al.  Case study: design and assessment of an enhanced geographic information system for exploration of multivariate health statistics , 2001, IEEE Symposium on Information Visualization, 2001. INFOVIS 2001..

[4]  J. Gregory Trafton,et al.  Turning pictures into numbers: extracting and generating information from complex visualizations , 2000, Int. J. Hum. Comput. Stud..

[5]  Catherine M. Burns,et al.  Putting It All Together: Improving Display Integration in Ecological Displays , 2000, Hum. Factors.

[6]  Chris North,et al.  Exploring Cognitive Strategies for Integrating Multiple-View Visualizations , 2003 .

[7]  Robert St. Amant,et al.  ViA: a perceptual visualization assistant , 2000, Applied Imaging Pattern Recognition.

[8]  Chris North,et al.  Empirical comparison of dynamic query sliders and brushing histograms , 2003, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714).

[9]  Edward R. Tufte,et al.  Envisioning Information , 1990 .