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: 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
Published at: IEEE Transactions on Cognitive and Developmental Systems (Volume: 13)
DOI: 10.1109/TCDS.2020.3044366
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3469595.3469631
Published at: INLG 2021 - 14th International Conference on Natural Language Generation, Proceedings
Published at: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
DOI: 10.1109/RO-MAN47096.2020.9223556
Published at: Journal of Medical Internet Research (Volume: 22)
DOI: 10.2196/13726
Published at: ACM/IEEE International Conference on Human-Robot Interaction
DOI: 10.1145/3371382.3374853
Published at: IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents