Interactive Explanations: The model identifies an error at an in-depth level and adapts its explanations based on the end-user’s understanding and interactions to avoid reproduction of the same error (i.e., how to explain)

Sub-section Authors Title
Dialogue Systems Thiemo Wambsganss, Tobias Kueng, Matthias Söllner, and Jan Marco Leimeister. Arguetutor: An adaptive dialog-based learning system for argumentation skills. pp. 1–13, 05 2021.
Interactive Dashboards Thiemo Wambsganss, Christina Niklaus, Matthias Cetto, Matthias Söllner, Siegfried Handschuh, and Jan Marco Leimeister. Al: An adaptive learning support system for argumentation skills. 04 2020.
User’s background-based systems Henning Wachsmuth and Milad Alshomary. '’mama always had a way of explaining things so I could understand’’: A dialogue corpus for learning to construct explanations. In Proceedings of the 29th International Conference on Computational Linguistics, pp. 344–354, Gyeongju, Republic of Korea, October 2022. International Committee on Computational Linguistics.