11 citations · 17 across the 6 of their papers we have counts for
6 papers
Bridging the Dual Nature: How Integrated Explanations Enhance Understanding of Technical Artifacts
Lutz Terfloth, Heike M. Buhl, Vivien Lohmer +3
Purpose: Understanding a technical artifact requires grasping both its internal structure (Architecture) and its purpose and significance (Relevance), as formalized by Dual Nature…
Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues
Leandra Fichtel, Maximilian Spliethöver, Eyke Hüllermeier +9
The ability to generate explanations that are understood by explainees is the quintessence of explainable artificial intelligence. Since understanding depends on the explainee's ba…
Explainers' Mental Representations of Explainees' Needs in Everyday Explanations
Michael Erol Schaffer, Lutz Terfloth, Carsten Schulte +1
In explanations, explainers have mental representations of explainees' developing knowledge and shifting interests regarding the explanandum. These mental representations are dynam…
What you need to know about a learning robot: Identifying the enabling architecture of complex systems
Helen Beierling, Phillip Richter, Mara Brandt +4
Nowadays, we are dealing more and more with robots and AI in everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. As a r…
Forms of Understanding for XAI-Explanations
Hendrik Buschmeier, Heike M. Buhl, Friederike Kern +17
Explainability has become an important topic in computer science and artificial intelligence, leading to a subfield called Explainable Artificial Intelligence (XAI). The goal of pr…
Adding Why to What? Analyses of an Everyday Explanation
Lutz Terfloth, Michael Schaffer, Heike M. Buhl +1
In XAI it is important to consider that, in contrast to explanations for professional audiences, one cannot assume common expertise when explaining for laypeople. But such explanat…