1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
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…