Data visualization practitioners often lack formal training, resulting in a knowledge gap in
visualization design best practices. Large-language models like ChatGPT, with their vast …

When creating a visualization, designers face various conflicting design choices. They
typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their …

Researchers have proposed many definitions of visualization literacy, targeting various
aspects of the term. But we have yet to fully capture what it really means to be literate in …

Grounded theory (GT) is a research methodology that entails a systematic workflow for
theory generation grounded on emergent data. In this paper, we juxtapose GT workflows …

Grounded theory (GT) is a research methodology that entails a systematic workflow for
theory generation grounded on emergent data. In this paper, we juxtapose GT workflows …

This paper draws together nine strategies for creative visualization activities. Teaching
visualization often involves running learning activities where students perform tasks that …

Abstract Design studies are an integral method of visualization research with hundreds of
instances in the literature. Although taught as a theory, the practical implementation of …

In this panel, we will discuss strategies and challenges associated with increasing the
visualization literacy of general audiences (and adjacent data-related fields). We will hear …

With the increasing amount of data globally, analyzing and visualizing data are becoming
essential skills across various professions. It is important to equip university students with …

This study investigates the integration of Large Language Models (LLMs) like ChatGPT and
Claude into data visualization courses to enhance literacy among computer science …