4 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
An Image-based Typology for Visualization
Jian Chen, Petra Isenberg, Robert S. Laramee +4
We present and discuss the results of a qualitative analysis of visualization images to derive an image-based typology of visualizations. For each image, we seek to identify its ma…
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…
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,…