Dialogue Policies for Confusion Mitigation in Situated HRI
This addresses confusion mitigation for smoother human-robot interaction, but it appears incremental as it focuses on design and operationalization without proven outcomes.
The paper tackles the problem of confusion in human-robot interaction by proposing dialogue policies to mitigate it, though no concrete results or numbers are provided.
Confusion is a mental state triggered by cognitive disequilibrium that can occur in many types of task-oriented interaction, including Human-Robot Interaction (HRI). People may become confused while interacting with robots due to communicative or even task-centred challenges. To build a smooth and engaging HRI, it is insufficient for an agent to simply detect confusion; instead, the system should aim to mitigate the situation. In light of this, in this paper, we present our approach to a linguistic design of dialogue policies to build a dialogue framework to alleviate interlocutor confusion. We also outline our sketch and discuss challenges with respect to its operationalisation.