3 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
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…