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

People routinely rely on data to make decisions, but the process can be riddled with biases.
We show that patterns in data might be noticed first or more strongly, depending on how the …

Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who
have to navigate a series of complex treatment decisions that weigh the efficacy of tumor …

Data visualizations present a massive number of potential messages to an observer. One
might notice that one group's average is larger than another's, or that a difference in values …

Large Language Models (LLMs) have been adopted for a variety of visualizations tasks, but
how far are we from perceptually aware LLMs that can predict human takeaways? Graphical …

Interactive computer simulations are commonly used as pedagogical tools to support
students' statistical reasoning. This paper examines whether and how these simulations …

With the growing availability of quantitative forecasts from various sources, effectively
communicating these multiple forecasts has become increasingly crucial. Recent advances …

Visualization design influences how people perceive data patterns, yet most research
focuses on low-level analytic tasks, such as finding correlations. Existing work has criticized …

Incorporating data facts, which are natural language descriptions of data patterns, alongside
visualizations can guide readers and enhance the visibility of data patterns. However, data …

This habilitation thesis presents research projects that explore how data visualizations can
be used to communicate quantitative facts and support decisions. The thesis identifies the …