The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

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 …

Visualizations of tabular data are widely used; understanding their effectiveness in different
task and data contexts is fundamental to scaling their impact. However, little is known about …

Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

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 …

Designers often create visualizations to achieve specific high-level analytical or
communication goals. These goals require people to naturally extract complex …

Data transformation is an essential step in data science. While experts primarily use
programming to transform their data, there is an increasing need to support non …

In the age of big data, we are constantly inventing new data visualizations to consolidate
massive amounts of numerical information into smaller and more digestible visual formats …

Authors often transform a large screen visualization for smaller displays through rescaling,
aggregation and other techniques when creating visualizations for both desktop and mobile …

Scatterplots are frequently scaled to fit display areas in multi-view and multi-device data
analysis environments. A common method used for scaling is to enlarge or shrink the entire …