4 papers
When Do LLM Personas Support Visualization Design? A Cross-Model Study of Color Assignment and Chart Choice
Shahreen Salim, Klaus Mueller
Large language model personas are increasingly used to approximate diverse users during early-stage visualization design, but it remains unclear whether persona-conditioned outputs…
What Catches the Eye? A Conjoint Study of Infographic Design Preferences
Amit Kumar Das, Karanbir Pelia, Manav Nitesh Ukani +1
Infographic designers balance many choices at once: chart type, color, and whether to add a benchmark or a scale. Past work studies these factors one at a time, so we know little a…
Charts-of-Thought: Enhancing LLM Visualization Literacy Through Structured Data Extraction
Amit Kumar Das, Mohammad Tarun, Klaus Mueller
This paper evaluates the visualization literacy of modern Large Language Models (LLMs) and introduces a novel prompting technique called Charts-of-Thought. We tested three state-of…
MisVisFix: An Interactive Dashboard for Detecting, Explaining, and Correcting Misleading Visualizations using Large Language Models
Amit Kumar Das, Klaus Mueller
Misleading visualizations pose a significant challenge to accurate data interpretation. While recent research has explored the use of Large Language Models (LLMs) for detecting suc…