To interpret information visualizations, people use visual reasoning to determine how visual features map onto concepts. For example, to interpret the colors in weather maps, in neuroimaging, bar graphs, and recycling bin signs, people must determine which colors in the visualization map on different quantities or categories represented in the visualization. People have expectations, or “inferred mappings” for how visual features will map on concepts, and they have an easier time interpreting visualizations that match those expectations. The challenge is understanding what determines people’s inferred mappings. Addressing this challenge will advance knowledge about how visual reasoning works, and will translate to designing effective and efficient information visualizations.
More details coming soon!