Turn-taking dynamics across different phases of explanatory dialogues
P. Wagner, M. Wodarczak, H. Buschmeier, O. Türk, E. Gilmartin, in: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy, 2024, pp. 6–14.

Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis
I. Pilán, L. Prévot, H. Buschmeier, P. Lison, in: Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue, Kyoto, Japan, 2024, pp. 440–457.

Can AI explain AI? Interactive co-construction of explanations among human and artificial agents
N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, H. Buschmeier, Discourse &; Communication 18 (2024) 917–930.

A model of factors contributing to the success of dialogical explanations
M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 26th ACM International Conference on Multimodal Interaction, ACM, San José, Costa Rica, 2024, pp. 373–381.

Predictability of understanding in explanatory interactions based on multimodal cues
O. Türk, S. Lazarov, Y. Wang, H. Buschmeier, A. Grimminger, P. Wagner, in: Proceedings of the 26th ACM International Conference on Multimodal Interaction, San José, Costa Rica, 2024, pp. 449–458.

Multimodal Co-Construction of Explanations with XAI Workshop
H. Buschmeier, S. Kopp, T. Hassan, in: Proceedings of the 26th ACM International Conference on Multimodal Interaction, ACM, 2024, pp. 698–699.

Towards a BFO-based ontology of understanding in explanatory interactions
M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), International Association for Ontology and its Applications, Santiago de Compostela, Spain, 2024.

Towards a Computational Architecture for Co-Constructive Explainable Systems
H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese, D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, M. Booshehri, in: Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024, pp. 20–25.

Does listener gaze in face-to-face interaction follow the Entropy Rate Constancy principle: An empirical study
Y. Wang, H. Buschmeier, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, 2023, pp. 15372–15379.

Modeling Feedback in Interaction With Conversational Agents—A Review
A. Axelsson, H. Buschmeier, G. Skantze, Frontiers in Computer Science 4 (2022).