Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias.
As a consequence, disparate stakeholders need to interact with and make informed …

Data visualizations have been increasingly used in oral presentations to communicate data
patterns to the general public. Clear verbal introductions of visualizations to explain how to …

The language for expressing comparisons is often complex and nuanced, making
supporting natural language-based visual comparison a non-trivial task. To better …

Visualization research often focuses on perceptual accuracy or helping readers interpret key
messages. However, we know very little about how chart designs might influence readers' …

Reading a visualization is like reading a paragraph. Each sentence is a comparison: the
mean of these is higher than those; this difference is smaller than that. What determines …

Scientific knowledge develops through cumulative discoveries that build on, contradict,
contextualize, or correct prior findings. Scientists and journalists often communicate these …

Data charts are widely used in practices to display insights in complex data. Due to
ineffective designs, novice readers may require descriptive content (eg, chart captions) to …

While we typically focus on data visualization as a tool for facilitating cognitive tasks (eg
learning facts, making decisions), we know relatively little about their second-order impacts …

A viewer's existing beliefs can prevent accurate reasoning with data visualizations. In
particular, confirmation bias can cause people to overweigh information that confirms their …

Graphs effectively communicate data because they capitalize on the visual system's ability to
rapidly extract patterns. Yet, this pattern extraction does not occur in a single glance. Instead …