Color Inferences in Information Visualization
How do people infer meaning from colors in information visualizations? What are the color-concept associations in the mind, and how are they formed? How are color inferences influenced by semantic and perceptual context? We are addressing these questions in several domains including colormap data visualizations and recycling.
Colorgorical: an interactive color palette generating tool
How can we generate color palettes for data visualization that are easy to interpret and enjoyable to experience? We are developing Colorgorical (“Color” + “categorical”) to address this question for categorical data visualizations. Designed and evaluated using empirical data, Colorgorical helps balance aesthetics and perceptual discriminability.
Color Preference Metrics
What are effective ways to describe patterns of color preferences? How can we predict people’s preferences for colors they haven’t judged? We are constructing and evaluating models built from color space dimensions in color spaces, which provide parsimonious descriptions of complex patterns of data.
Understanding Color Preferences
Why do people have color preferences? Why do color preferences differ between individuals? Why do color preferences change over time? Much of our research on answering these questions is motivated by the Ecological Valence Theory (EVT). We also evaluate other theories to test their ability to explain color preferences.
Virtual Brain Project
How can perceptual cues help people learn to navigate novel virtual environments? How can immersive virtual reality be used for neuroscience education?
We are building a Virtual Brain that serves as a “virtual laboratory” for studying the role of color cues in virtual navigation. We are also evaluating its role as an educational tool.