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: Cognitive Systems Research (Volume: 94)
DOI: 10.1016/j.cogsys.2025.101419
Published at: Frontiers in Artificial Intelligence and Applications (Volume: 409)
DOI: 10.3233/FAIA250498
Published at: Ceur Workshop Proceedings (Volume: 3957)
Published at: Dialogue and Discourse (Volume: 16)
DOI: 10.5210/dad.2025.301
Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics
DOI: 10.18653/v1/2025.findings-acl.1236
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: 10.1145/3686215.3689203
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3678957.3689205
Published at: ACM International Conference Proceeding Series
DOI: 10.1145/3678957.3685744