Compensation of Contrast Effects for Dynamic Visualizations

Sebastian Mittelstädt and Daniel A. Keim, University of Konstanz, Germany

Have you ever used color in a visualization? Then you might know that contrast effects let your colors appear differently from what you thought they look like and in the case of data visualizations, they will skew your data representation.  A method that compensates for these physiological biases, was recently presented at EuroVis 2014. However, the method was too slow for dynamic and interactive visualizations. In this presentation, I will show how these biases critically influence decisions makers in an interactive visual security applications for critical infrastructures. Further, I will present an efficient version of the original algorithm, which can be pluged-in in any – also interactive – visualization systems and performs in (almost) real time. Thereby, the compensation of harmful contrast effects is possible in every visualization.