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
Published at: Proceedings - 2024 Workshop on Explainability Engineering, ExEn 2024
DOI: 10.1145/3648505.3648509
Published at: ACM/IEEE International Conference on Human-Robot Interaction
DOI: 10.1145/3610978.3640736
Published at: Discourse and Communication
DOI: 10.1177/17504813241267118
Published at: Legal and Ethical Issues in Human Language Technologies 2024, LEGAL 2024 at LREC-COLING 2024 - Workshop Proceedings
Published at: IEEE International Workshop on Robot and Human Communication, RO-MAN
DOI: 10.1109/RO-MAN57019.2023.10309586
Published at: Findings of the Association for Computational Linguistics: EMNLP 2023
Published at: Frontiers in Robotics and AI (Volume: 10)
DOI: 10.3389/frobt.2023.1242127
Published at: Frontiers in Computer Science (Volume: 4)
DOI: 10.3389/fcomp.2022.744574
Published at: Proceedings of the 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022
Published at: ACM/IEEE International Conference on Human-Robot Interaction (Volume: 2022-March)
DOI: 10.1109/HRI53351.2022.9889308