Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Data visualization tools have the potential to support decision-making for public health
professionals. This review summarizes the science and evidence regarding data …

We investigated the effects of example-based explanations for a machine learning classifier
on end users' appropriate trust. We explored the effects of spatial layout and visual …

Forming connections between human performance and design, this new edition of
Engineering Psychology and Human Performance examines human–machine interaction …

The Information Visualization community has begun to pay attention to visualization literacy;
however, researchers still lack instruments for measuring the visualization literacy of users …

Visualizations have a potentially enormous influence on how data are used to make
decisions across all areas of human endeavor. However, it is not clear how this power …

When designing communicative visualizations, we often focus on goals that seek to convey
patterns, relations, or comparisons (cognitive learning objectives). We pay less attention to …

In this paper, we present an empirical analysis of deceptive visualizations. We start with an
in-depth analysis of what deception means in the context of data visualization, and …

Today's political misinformation has increasingly been created and consumed in visual
formats, such as photographs, memes, and videos. Despite the ubiquity of visual media and …

Slanted framing in news article titles induce bias and influence recall. While recent studies
found that viewers focus extensively on titles when reading visualizations, the impact of titles …