3 citations · 5 across the 10 of their papers we have counts for
10 papers
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…
RSVP for VPSA : A Meta Design Study on Rapid Suggestive Visualization Prototyping for Visual Parameter Space Analysis
Manfred Klaffenboeck, Michael Gleicher, Johannes Sorger +2
Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view…
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
Timothée Schmude, Laura Koesten, Torsten Möller +1
We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences. We shortly introduce the…
"The main message is that sustainability would help" -- Reflections on takeaway messages of climate change data visualizations
Regina Schuster, Laura Koesten, Kathleen Gregory +1
How do different audiences make sense of climate change data visualizations and what do they take away as a main message? To investigate this question, we are building on the resul…
What is the message? Perspectives on Visual Data Communication
Regina Schuster, Kathleen Gregory, Christian Knoll +2
Data visualizations are widely used to communicate messages about urgent topics such as climate change and public health. However, we still know little about how these visualizatio…
Untangling Rhetoric, Pathos, and Aesthetics in Data Visualization
Verena Ingrid Prantl, Torsten Moeller, Laura Koesten
In contemporary discourse, logos (reason) and, more recently, ethos (credibility) in data communication have been discussed extensively. While the concept of Pathos has enjoyed gre…