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

  • Modeling Feedback in Interaction With Conversational Agents—A Review (2022)

    Authors: Agnes Axelsson, Hendrik Buschmeier, Gabriel Skantze

    Published at: Frontiers in Computer Science (Volume: 4)
    DOI: 10.3389/fcomp.2022.744574

  • Modeling Social Influences on Indirectness in a Rational Speech Act Approach to Politeness (2022)

    Authors: Eleonore Lumer, Hendrik Buschmeier

    Published at: Proceedings of the 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022

  • Perception of Power and Distance in Human-Human and Human-Robot Role-Based Relations (2022)

    Authors: Eleonore Lumer, Hendrik Buschmeier

    Published at: ACM/IEEE International Conference on Human-Robot Interaction (Volume: 2022-March)
    DOI: 10.1109/HRI53351.2022.9889308

  • Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems (2021)

    Authors: Katharina J. Rohlfing, Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, Angela Grimminger, Barbara Hammer, Reinhold Hab-Umbach, Ilona Horwath, Eyke Hullermeier, Friederike Kern, Stefan Kopp, Kirsten Thommes, Axel-Cyrille Ngonga Ngomo, Carsten Schulte, Henning Wachsmuth, Petra Wagner, Britta Wrede

    Published at: IEEE Transactions on Cognitive and Developmental Systems (Volume: 13)
    DOI: 10.1109/TCDS.2020.3044366

  • Evaluating NLG-frameworks for multilingual surface realization in conversational assistants (2021)

    Authors: Hanne Brockow, Hendrik Buschmeier

    Published at: ACM International Conference Proceeding Series
    DOI: 10.1145/3469595.3469631

  • Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning (2021)

    Authors: Sina Zarrieß, Hendrik Buschmeier, Ting Han, Simeon Schüz

    Published at: INLG 2021 - 14th International Conference on Natural Language Generation, Proceedings

  • Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation (2020)

    Authors: Bjorn Horstmann, Niels Diekmann, Hendrik Buschmeier, Teena Hassan

    Published at: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
    DOI: 10.1109/RO-MAN47096.2020.9223556

  • Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study (2020)

    Authors: Carolin Straßmann, Nicole C Krämer, Hendrik Buschmeier, Stefan Kopp

    Published at: Journal of Medical Internet Research (Volume: 22)
    DOI: 10.2196/13726

  • Second workshop on natural language generation for human-robot interaction (2020)

    Authors: Hendrik Buschmeier, Mary Ellen Foster, DImitra Gkatzia

    Published at: ACM/IEEE International Conference on Human-Robot Interaction
    DOI: 10.1145/3371382.3374853

  • ACM IVA 2019 Chairs' Welcome (2019)

    Authors: Catherine Pelachaud, Jean-Claude Martin, Hendrik Buschmeier, Gale Lucas, Stefan Kopp

    Published at: IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents