Visualization researchers and practitioners engaged in generating or evaluating designs are
faced with the difficult problem of transforming the questions asked and actions taken by …

When an analyst or scientist has a belief about how the world works, their thinking can be
biased in favor of that belief. Therefore, one bedrock principle of science is to minimize that …

Interaction is fundamental to data visualization, but what “interaction” means in the context of
visualization is ambiguous and confusing. We argue that this confusion is due to a lack of …

For all its potential in supporting data analysis, particularly in exploratory situations,
visualization also creates barriers: accessibility for blind and visually impaired individuals …

We explore the combination of smartwatches and a large interactive display to support
visual data analysis. These two extremes of interactive surfaces are increasingly popular …

Knowledge of human perception has long been incorporated into visualizations to enhance
their quality and effectiveness. The last decade, in particular, has shown an increase in …

Despite the ever-growing popularity of dashboards across a wide range of domains, their
authoring still remains a tedious and complex process. Current tools offer considerable …

Data physicalization is a rich and vast research area that studies the use of physical artifacts
to convey data. It overlaps with a number of research areas including information …

Understanding a visualization is a multi-level process. A reader must extract and extrapolate
from numeric facts, understand how those facts apply to both the context of the data and …

Multivariate event sequences are ubiquitous: travel history, telecommunication
conversations, and server logs are some examples. Besides standard properties such as …