Information Visualization

Color Brewer Blue

To interpret information visualizations, people must determine how perceptual features (e.g., color, shape, size, texture) map onto concepts. This process is easier when the encoded mapping between perceptual features and concepts in visualizations matches people’s expectations. The questions is, what determines people’s expectations? Answering this question will enable the design of visualizations that are easier to interpret.

Paper(s) on this topic
Kinateder, M. Warren, W. H., & Schloss, K. B. (in press). Exit sign color and exit choice. Applied Ergonomics.

Schloss, K. B., Gramazio, C. C., Silverman, A. T., Parker, M., L., and Wang, A. S. (in press) Mapping color to meaning in colormap data visualizations. IEEE Transactions on Visualization and Computer Graphics.

Schloss, K. B., Lessard, L., Walmsley, C. S., & Foley, K. (2018). Color inference in visual communication: The meaning of colors in recycling. Cognitive Research: Principles and Implications, 3, 5. PDF