As social robots see increasing deployment within the general public, improving the interaction with those robots is essential. Spoken language offers an intuitive interface for the human-robot interaction (HRI), with dialogue management (DM) being a key component in those interactive systems. Yet, to overcome current challenges and manage smooth, informative and engaging interaction a more structural approach to combining HRI and DM is needed. In this systematic review, we analyse the current use of DM in HRI and focus on the type of dialogue manager used, its capabilities, evaluation methods and the challenges specific to DM in HRI. We identify the challenges and current scientific frontier related to the DM approach, interaction domain, robot appearance, physical situatedness and multimodality.

翻译：随着社交机器人在公众中的普及程度日益提高，改善与这些机器人的交互变得至关重要。口头语言为人机交互（HRI）提供了直观的界面，而对话管理（DM）则是这些交互系统中的关键组成部分。然而，为了克服当前挑战并实现流畅、信息丰富且引人入胜的交互，需要采用更具结构性的方法来结合HRI与DM。在本系统综述中，我们分析了当前对话管理在人机交互中的应用情况，重点关注所使用的对话管理器类型、其功能、评估方法以及HRI中对话管理面临的特定挑战。我们识别了与对话管理方法、交互领域、机器人外观、物理情境性及多模态性相关的挑战及当前科学前沿。