论文标题
在HRI的位置缓解混乱的对话政策
Dialogue Policies for Confusion Mitigation in Situated HRI
论文作者
论文摘要
混乱是一种由认知不平衡触发的精神状态，可以在许多类型的以任务为导向的相互作用（包括人类机器人相互作用（HRI））中发生。由于交流甚至以任务为中心的挑战，人们在与机器人互动时可能会感到困惑。为了建立平稳而引人入胜的HRI，代理人简单地发现混乱是不足的。相反，该系统应旨在减轻情况。鉴于此，在本文中，我们介绍了对话政策的语言设计方法，以建立对话框架以减轻对话者的混乱。我们还概述了草图，并讨论了有关其操作的挑战。
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.
