Visual analysis of multidimensional data requires expressive and effective ways to reduce
data dimensionality to encode them visually. Multidimensional projections (MDP) figure …

Captions that describe or explain charts help improve recall and comprehension of the
depicted data and provide a more accessible medium for people with visual disabilities …

Rapidly growing virtual reality (VR) technologies and techniques have gained importance
over the past few years, and academics and practitioners have been searching for efficient …

We present Marvis, a conceptual framework that combines mobile devices and head-
mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and …

Visualizations are now widely used across disciplines to understand and communicate data.
The benefit of visualizations lies in leveraging our natural visual perception. However, the …

In the information age, the ability to read and construct data visualizations becomes as
important as the ability to read and write text. However, while standard definitions and …

Recently, an increasing number of visualization systems have begun to incorporate natural
language generation (NLG) capabilities into their interfaces. NLG-based visualization …

Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data.
For DR techniques to be useful in exploratory data analysis, they need to be adapted to …

In recent years, road traffic accidents, as a leading cause of accidental deaths, have been
attracting more and more attention across several disciplines. Notably, the feature study on …

Current web accessibility guidelines ask visualization designers to support screen readers
via basic non‐visual alternatives like textual descriptions and access to raw data tables. But …