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 […]
How can we generate color palettes for data visualization that are easy to perceive 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. Paper on this topic Gramazio, C. C., Laidlaw, D. […]
Why do people have color preferences? Why do color preferences differ between individuals and why do they change over time?
How can perceptual cues help people learn to navigate novel virtual environments? How can immersive virtual reality be used for neuroscience education?