12 citations · 45 across the 22 of their papers we have counts for
19 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…
Encountering Friction, Understanding Crises: How Do Digital Natives Make Sense of Crisis Maps?
Laura Koesten, Antonia Saske, Sandra Starchenko +1
Crisis maps are regarded as crucial tools in crisis communication, as demonstrated during the COVID-19 pandemic and climate change crises. However, there is limited understanding o…
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…
Human-Data Interaction: Thinking beyond individual datasets
Laura Koesten, Jude Yew, Kathleen Gregory
Having greater access to data leads to many benefits, from advancing science to promoting accountability in government to boosting innovation. However, merely providing data access…
A Multidimensional Assessment Method for Situated Visualization Understanding (MdamV)
Antonia Saske, Laura Koesten, Torsten Möller +2
How audiences read, interpret, and critique data visualizations is mainly assessed through performance tests featuring tasks like value retrieval. Yet, other factors shown to shape…
Tensions between Preference and Performance: Designing for Visual Exploration of Multi-frequency Medical Network Data
Christian Knoll, Laura Koesten, Isotta Rigoni +2
The analysis of complex high-dimensional data is a common task in many domains, resulting in bespoke visual exploration tools. Expectations and practices of domain experts as users…
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Timothée Schmude, Laura Koesten, Torsten Möller +1
Every AI system that makes decisions about people has a group of stakeholders that are personally affected by these decisions. However, explanations of AI systems rarely address th…
Subjective visualization experiences: impact of visual design and experimental design
Laura Koesten, Drew Dimmery, Michael Gleicher +1
In contrast to objectively measurable aspects (such as accuracy, reading speed, or memorability), the subjective experience of visualizations has only recently gained importance, a…
The Gulf of Interpretation: From Chart to Message and Back Again
Christian Knoll, Torsten Möller, Kathleen Gregory +1
Charts are used to communicate data visually, but often, we do not know whether a chart's intended message aligns with the message readers perceive. In this mixed-methods study, we…
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,…
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…
On the Impact of Explanations on Understanding of Algorithmic Decision-Making
Timothée Schmude, Laura Koesten, Torsten Möller +1
Ethical principles for algorithms are gaining importance as more and more stakeholders are affected by "high-risk" algorithmic decision-making (ADM) systems. Understanding how thes…
"Being Simple on Complex Issues" -- Accounts on Visual Data Communication about Climate Change
Regina Schuster, Kathleen Gregory, Torsten Möller +1
Data visualizations play a critical role in both communicating scientific evidence about climate change and in stimulating engagement and action. To investigate how visualizations…