论文标题
社会状态的可解释表示：社会人类机器人互动的模型
Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
论文作者
论文摘要
在本文中，我们提出了在人类机器人互动过程中跟踪社会状态所需的最低概念和信号集。我们研究了与多个人类和机器人的社会环境中复杂连续互动的问题，并讨论了其社交互动的可解释和可拖延的表示/模型的创建。我们根据它们的代表性和沟通属性讨论这些表示形式，并将它们组织成四个认知领域（场景的理解，行为促进，精神状态和对话 - 对话）。
In this paper, we propose a minimum set of concepts and signals needed to track the social state during Human-Robot Interaction. We look into the problem of complex continuous interactions in a social context with multiple humans and robots, and discuss the creation of an explainable and tractable representation/model of their social interaction. We discuss these representations according to their representational and communicational properties, and organize them into four cognitive domains (scene-understanding, behaviour-profiling, mental-state, and dialogue-grounding).
