Adaptive explanation generation

Monitoring the understanding of explanations

Co-constructing explanations between AI-explainer and human explainee under arousal or nonarousal

Co-constructing duality-enhanced explanations

Contextualized and online parametrization of scaffolding in human–robot explanatory dialog

Explaining the multimodal display of stress in clinical explanations

A dialog-based approach to explaining machine learning models

Exploring users, roles, and explanations in real-world contexts

Co-constructing explainability with an interactively learning robot

Ethics and normativity of explainable AI

Communicative practices of requesting information and explanation from LLM-based agents

Explanations for healthy distrust in large language models

Interactive learning of explainable, situation-adapted decision models

Interpretable machine learning: Explaining change

Metaphors as an explanation tool

Creating explanations in collaborative human–machine knowledge exploration

Technically enabled explanation of speaker traits

Co-construction-following large language models for explaining

Retrieval-augmented information provision

Questions about explainable technology

Research Training Group

Central tasks of the Collaborative Research Center