2 citations · 2 across the 3 of their papers we have counts for
10 papers
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
Timothée Schmude, Laura Koesten, Torsten Möller +1
Deploying AI systems in public institutions can have far-reaching consequences for many people, making it a matter of public interest. Providing opportunities for stakeholders to c…
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…
Practitioners' Perspectives on Designing Data Visualizations for the General Public
Regina Schuster, Kathleen Gregory, Torsten Möller +1
Public-facing data visualizations can play a vital role in making complex information clear and engaging, thereby encouraging informed public discourse and participation. However,…
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…