Adaptive explanation generation

Monitoring the understanding of explanations

Co-constructing explanations with emotional alignment between AI-explainer and human explainee

Integrating the technical model into the partner model in explanations of digital artifacts

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

Co-Constructing social signs of understanding to adapt monitoring to diversity

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 Artificial Intelligence

Healthy distrust in explanations

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

Toward a framework for assessing explanation quality

Questions about explainable technology

Research Training Group

Central administrative project