Hendrik Buschmeier

Hendrik Buschmeier

hbuschme@uni-bielefeld.de
Institution: Bielefeld University
Department: Digital Linguistics Lab, Faculty of Linguistics and Literary Studies
Position: Tenure-track Professor of Digital Linguistics
https://dililab.uni-bielefeld.de/
Solving difficulties in understanding in human-robot interaction (due to knowledge gaps or vagueness and ambiguity inherent to verbal communication) is a key issue, which – if not properly addressed by building on human interactional mechanisms – risks the success of the interaction because instructing the robot in useful ways may well be impossible and/or lead to non-acceptance of the technology by human users.

Dialogue, Interaction, Conversational Agents, Multimodality, Computational Linguistics

Repair, feedback and adaptation; Politeness; Reference; Perspective-taking

  • Conversation analysis and conversational technologies: Finding the common ground between academia and industry (2024)

    Authors: Elizabeth Stokoe, Saul Albert, Hendrik Buschmeier, Wyke Stommel

    Published at: Discourse and Communication (Volume: 18)
    DOI: 10.1177/17504813241267118

  • Can AI explain AI? Interactive co-construction of explanations among human and artificial agents (2024)

    Authors: Nils Klowait, Maria Erofeeva, Michael Lenke, Ilona Horwath, Hendrik Buschmeier

    Published at: Discourse and Communication (Volume: 18)
    DOI: 10.1177/17504813241267069

  • A Model of Factors Contributing to the Success of Dialogical Explanations (2024)

    Authors: Meisam Booshehri, Hendrik Buschmeier, Philipp Cimiano

    Published at: ACM International Conference Proceeding Series
    DOI: 10.1145/3678957.3685744

  • Multimodal Co-Construction of Explanations with XAI Workshop (2024)

    Authors: Hendrik Buschmeier, Stefan Kopp, Teena Hassan

    Published at: ACM International Conference Proceeding Series
    DOI: 10.1145/3678957.3689205

  • Predictability of Understanding in Explanatory Interactions Based on Multimodal Cues (2024)

    Authors: Olcay Türk, Stefan Lazarov, Yu Wang, Hendrik Buschmeier, Angela Grimminger, Petra Wagner

    Published at: ACM International Conference Proceeding Series
    DOI: 10.1145/3678957.3685741

  • Quote to Explain: Using Multimodal Metalinguistic Markers to Explain Large Language Models' Understanding Capabilities (2024)

    Authors: Milena Belosevic, Hendrik Buschmeier

    Published at: ACM International Conference Proceeding Series
    DOI: 10.1145/3686215.3689203

  • Towards a Computational Architecture for Co-Constructive Explainable Systems (2024)

    Authors: Meisam Booshehri, Hendrik Buschmeier, Philipp Cimiano, Stefan Kopp, Jaroslaw Kornowicz, Olesja Lammert, Marco Matarese, Dimitry Mindlin, Amelie Sophie Robrecht, Anna-Lisa Vollmer, Petra Wagner, Britta Wrede

    Published at: Proceedings - 2024 Workshop on Explainability Engineering, ExEn 2024
    DOI: 10.1145/3648505.3648509

  • Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction (2024)

    Authors: Clara Lachenmaier, Eleonore Lumer, Hendrik Buschmeier, Sina Zarrieß

    Published at: ACM/IEEE International Conference on Human-Robot Interaction
    DOI: 10.1145/3610978.3640736

  • The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems (2024)

    Authors: Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß

    Published at: EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
    DOI: 10.18653/v1/2024.emnlp-main.1084

  • Revisiting the Phenomenon of Syntactic Complexity Convergence on German Dialogue Data (2024)

    Authors: Yu Wang, Hendrik Buschmeier

    Published at: 20th Conference on Natural Language Processing, KONVENS 2024 - Proceedings of the Conference