3 citations · 5 across the 10 of their papers we have counts for
5 papers · 1 filter
Structured Visualization Design Knowledge for Grounding Generative Reasoning and Situated Feedback
Péter Ferenc Gyarmati, Dominik Moritz, Torsten Möller +1
Automated visualization design navigates a tension between symbolic systems and generative models. Constraint solvers enforce structural and perceptual validity, but the rules they…
PLUTO: A Public Value Assessment Tool
Laura Koesten, Péter Ferenc Gyarmati, Connor Hogan +4
We present PLUTO (Public VaLUe Assessment TOol), a framework for assessing the public value of specific instances of data use. Grounded in the concept of data solidarity, PLUTO aim…
A Composable Agentic System for Automated Visual Data Reporting
Péter Ferenc Gyarmati, Dominik Moritz, Torsten Möller +1
To address the brittleness of monolithic AI agents, our prototype for automated visual data reporting explores a Human-AI Partnership model. Its hybrid, multi-agent architecture st…
Do Vision-Language Models See Visualizations Like Humans? Alignment in Chart Categorization
Péter Ferenc Gyarmati, Manfred Klaffenböck, Laura Koesten +1
Vision-language models (VLMs) hold promise for enhancing visualization tools, but effective human-AI collaboration hinges on a shared perceptual understanding of visual content. Pr…
MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices
Aleksandar Doknic, Torsten Möller
Machine learning-based classifiers are commonly evaluated by metrics like accuracy, but deeper analysis is required to understand their strengths and weaknesses. MLMC is a visual e…