Task-Driven Color Coding

Color coding is a widely used visualization method for scalar data. To generate expressive and effective visual representations, it is extremely important to carefully design the mapping from data to color. In this paper, we describe a color coding approach that accounts for the different tasks users might pursue when analyzing data. Our task description is based on the task model of Andrienko & Andrienko. We apply different color scales and introduce strategies to adapt the color mapping function to support tasks like comparison, localization, or identification of data values.