Unfamiliar measurements usually hinder readers from grasping the scale of the numerical
data, understanding the content, and feeling engaged with the context. To enhance data …

AI Systems are becoming ubiquitous and assuming different roles in our lives: they can act
as recommendation systems in multiple contexts, they can work as personal assistants, they …

With the increasing growth and impact of machine learning and other math-intensive fields, it
is more important than ever to broaden access to mathematical notation. Can new visual …

Visual augmentations are commonly added to charts and graphs in order to convey richer
and more nuanced information about relationships in the data. However, many design …

Two people looking at the same dataset will create different mental models, prioritize
different attributes, and connect with different visualizations. We seek to understand the …

Modern visualization tools aim to allow data analysts to easily create exploratory
visualizations. When the input data layout conforms to the visualization design, users can …

Visualization tools facilitate exploratory data analysis, but fall short at supporting hypothesis-
based reasoning. We conducted an exploratory study to investigate how visualizations might …

Many personal informatics systems allow people to collect and manage personal data and
reflect more deeply about themselves. However, these tools rarely offer ways to customize …

With most modern visualization tools, authors need to transform their data into tidy formats to
create visualizations they want. Because this requires experience with programming or …

We investigate how to use AI-based analytics to support design education. The analytics at
hand measure multiscale design, that is, students' use of space and scale to visually and …