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31 Publications
2024 | Conference Paper | LibreCat-ID: 55917 | 
Booshehri M, Buschmeier H, Cimiano P. Towards a BFO-based ontology of understanding in explanatory interactions. In: Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI). International Association for Ontology and its Applications; 2024.
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2024 | Conference Paper | LibreCat-ID: 61177 |
Xu Y, Wang Y, An H, Liu Z, Li Y. Detecting subtle differences between human and model languages using spectrum of relative likelihood. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. ACL; 2024:10108–10121. doi:10.18653/v1/2024.emnlp-main.564
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2024 | Conference Paper | LibreCat-ID: 55916
Booshehri M, Buschmeier H, Cimiano P. A model of factors contributing to the success of dialogical explanations. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction. ACM; 2024:373-381. doi:10.1145/3678957.3685744
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2024 | Conference Paper | LibreCat-ID: 55995 |
Pilán I, Prévot L, Buschmeier H, Lison P. Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis. In: Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue. ; 2024:440–457. doi:10.18653/v1/2024.sigdial-1.38
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2024 | Conference Paper | LibreCat-ID: 55913 |
Wagner P, Włodarczak M, Buschmeier H, Türk O, Gilmartin E. Turn-taking dynamics across different phases of explanatory dialogues. In: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue. ; 2024:6-14.
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2024 | Journal Article | LibreCat-ID: 56190
Klowait N, Erofeeva M, Lenke M, Horwath I, Buschmeier H. Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication. 2024;18(6):917-930. doi:10.1177/17504813241267069
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2024 | Conference Paper | LibreCat-ID: 61176 |
Wang Y, Buschmeier H. Revisiting the phenomenon of syntactic complexity convergence on German dialogue data. In: Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024). ; 2024:75–80.
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2024 | Conference Paper | LibreCat-ID: 55911 |
Wang Y, Xu Y, Skantze G, Buschmeier H. How much does nonverbal communication conform to entropy rate constancy?: A case study on listener gaze in interaction. In: Findings of the Association for Computational Linguistics ACL 2024. ; 2024:3533–3545.
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2024 | Conference Abstract | LibreCat-ID: 56314
Riechmann AN, Buschmeier H. Automatic reconstruction of dialogue participants’ coordinating gaze behavior from multiple camera perspectives. In: Book of Abstracts of the 2nd International Multimodal Communication Symposium. ; 2024:38–39.
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2023 | Conference Paper | LibreCat-ID: 55909 |
Wang Y, Buschmeier H. Does listener gaze in face-to-face interaction follow the Entropy Rate Constancy principle: An empirical study. In: Findings of the Association for Computational Linguistics: EMNLP 2023. ; 2023:15372–15379.
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2022 | Journal Article | LibreCat-ID: 51342 |
Axelsson A, Buschmeier H, Skantze G. Modeling Feedback in Interaction With Conversational Agents—A Review. Frontiers in Computer Science. 2022;4. doi:10.3389/fcomp.2022.744574
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