# Dialogue Policies for Confusion Mitigation in Situated HRI

arXiv: https://arxiv.org/abs/2208.09367 · HTML: https://mlsanity.com/paper/2208.09367/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 14 references that are in the map.
- First posted on arXiv 19 Aug 2022.

## Builds on (most cited first, 2 of 2)

- [Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study](https://mlsanity.com/paper/2206.02436/) (2022)
- [Transferring Studies Across Embodiments: A Case Study in Confusion Detection](https://mlsanity.com/paper/2206.01493/) (2022)

## Abstract (arXiv)

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.