18 citations · 21 across the 4 of their papers we have counts for
4 papers
ChatGPT in Data Visualization Education: A Student Perspective
Nam Wook Kim, Hyung-Kwon Ko, Grace Myers +1
Unlike traditional educational chatbots that rely on pre-programmed responses, large-language model-driven chatbots, such as ChatGPT, demonstrate remarkable versatility to serve as…
How Good is ChatGPT in Giving Advice on Your Visualization Design?
Nam Wook Kim, Yongsu Ahn, Grace Myers +1
Data visualization creators often lack formal training, resulting in a knowledge gap in design practice. Large language models such as ChatGPT, with their vast internet-scale train…
Understanding the Research-Practice Gap in Visualization Design Guidelines
Nam Wook Kim, Grace Myers, Jinhan Choi +3
Although empirical research often underpins practical visualization guidelines, it remains unclear how well these research-driven insights are reflected in the guidelines practitio…
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
Hyung-Kwon Ko, Hyeon Jeon, Gwanmo Park +4
We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input, thereby streamlining the develo…