Hendrik Buschmeier

Sonderforschungsbereich Transregio 318
hbuschme@campus.uni-paderborn.de
ID
76456

10 Publications

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[10]
2024 | Conference Paper | LibreCat-ID: 55913 | OA
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.
LibreCat | Download (ext.)
 
[9]
2024 | Conference Paper | LibreCat-ID: 55995 | OA
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
LibreCat | DOI | Download (ext.)
 
[8]
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
LibreCat | Files available | DOI
 
[7]
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
LibreCat | DOI
 
[6]
2024 | Conference Paper | LibreCat-ID: 55912
Türk O, Lazarov S, Wang Y, Buschmeier H, Grimminger A, Wagner P. Predictability of understanding in explanatory interactions based on multimodal cues. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction. ; 2024:449-458. doi:10.1145/3678957.3685741
LibreCat | DOI
 
[5]
2024 | Conference Abstract | LibreCat-ID: 56985
Buschmeier H, Kopp S, Hassan T. Multimodal Co-Construction of Explanations with XAI Workshop. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction. ACM; 2024:698-699. doi:10.1145/3678957.3689205
LibreCat | DOI
 
[4]
2024 | Conference Paper | LibreCat-ID: 55917 | OA
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.
LibreCat | Files available | Download (ext.)
 
[3]
2024 | Conference Paper | LibreCat-ID: 55403 | OA
Buschmeier H, Cimiano P, Kopp S, et al. Towards a Computational Architecture for Co-Constructive Explainable Systems. In: Proceedings of the 2024 Workshop on Explainability Engineering. ACM; 2024:20-25. doi:10.1145/3648505.3648509
LibreCat | DOI | Download (ext.)
 
[2]
2023 | Conference Paper | LibreCat-ID: 55909 | OA
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.
LibreCat | Download (ext.)
 
[1]
2022 | Journal Article | LibreCat-ID: 51342 | OA
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
LibreCat | DOI | Download (ext.)
 
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10 Publications

Mark all

[10]
2024 | Conference Paper | LibreCat-ID: 55913 | OA
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.
LibreCat | Download (ext.)
 
[9]
2024 | Conference Paper | LibreCat-ID: 55995 | OA
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
LibreCat | DOI | Download (ext.)
 
[8]
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
LibreCat | Files available | DOI
 
[7]
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
LibreCat | DOI
 
[6]
2024 | Conference Paper | LibreCat-ID: 55912
Türk O, Lazarov S, Wang Y, Buschmeier H, Grimminger A, Wagner P. Predictability of understanding in explanatory interactions based on multimodal cues. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction. ; 2024:449-458. doi:10.1145/3678957.3685741
LibreCat | DOI
 
[5]
2024 | Conference Abstract | LibreCat-ID: 56985
Buschmeier H, Kopp S, Hassan T. Multimodal Co-Construction of Explanations with XAI Workshop. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction. ACM; 2024:698-699. doi:10.1145/3678957.3689205
LibreCat | DOI
 
[4]
2024 | Conference Paper | LibreCat-ID: 55917 | OA
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.
LibreCat | Files available | Download (ext.)
 
[3]
2024 | Conference Paper | LibreCat-ID: 55403 | OA
Buschmeier H, Cimiano P, Kopp S, et al. Towards a Computational Architecture for Co-Constructive Explainable Systems. In: Proceedings of the 2024 Workshop on Explainability Engineering. ACM; 2024:20-25. doi:10.1145/3648505.3648509
LibreCat | DOI | Download (ext.)
 
[2]
2023 | Conference Paper | LibreCat-ID: 55909 | OA
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.
LibreCat | Download (ext.)
 
[1]
2022 | Journal Article | LibreCat-ID: 51342 | OA
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
LibreCat | DOI | Download (ext.)
 
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Citation Style: AMA

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