11 citations · 38 across the 18 of their papers we have counts for
9 papers · 1 filter
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
Udo Schlegel, Daniela Oelke, Daniel A. Keim +1
Decision explanations of machine learning black-box models are often generated by applying Explainable AI (XAI) techniques. However, many proposed XAI methods produce unverified ou…
Studying Visualization Guidelines According to Grounded Theory
Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman +5
Visualization guidelines, if defined properly, are invaluable to both practical applications and the theoretical foundation of visualization. In this paper, we present a collection…
A Comparative Analysis of Industry Human-AI Interaction Guidelines
Austin P. Wright, Zijie J. Wang, Haekyu Park +6
With the recent release of AI interaction guidelines from Apple, Google, and Microsoft, there is clearly interest in understanding the best practices in human-AI interaction. Howev…
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs
Eren Cakmak, Dominik Jäckle, Tobias Schreck +1
Presenting long sequences of dynamic graphs remains challenging due to the underlying large-scale and high-dimensional data. We propose dg2pix, a novel pixel-based visualization te…
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs
Eren Cakmak, Udo Schlegel, Dominik Jäckle +2
The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summarie…
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
Fabian Sperrle, Mennatallah El-Assady, Grace Guo +3
This paper systematically derives design dimensions for the structured evaluation of explainable artificial intelligence (XAI) approaches. These dimensions enable a descriptive cha…