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: Discourse and Communication (Volume: 18)
DOI: 10.1177/17504813241267118
Published at: Discourse and Communication (Volume: 18)
DOI: 10.1177/17504813241267069
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3678957.3685744
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3678957.3689205
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3678957.3685741
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3686215.3689203
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: CEUR Workshop Proceedings (Volume: 3833)
Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics