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Towards Robot Moderators: Understanding Goal-Directed Multi-Party Interactions

机译:走向机器人主持人:了解目标定向的多方交互

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Socially Assistive Robotics (SAR) is a growing field dedicated to developing models and algorithms that enable robots to help people achieve goals through social interaction (Feil-Seifer and Mataric 2005). Prior work in this field has focused on one-on-one interactions, but there is interest in extending this work to multi-party interactions. We contribute to the study of multi-party SAR by defining the role of moderator, an agent that is responsible for directing an interaction, but is not necessarily directly participating in the task. We present a formalization of the task of moderation as the process by which a goal-directed multi-party interaction is regulated via manipulation of interaction resources, including both physical resources, such as an object or a tool, and social resources, such as the conversational floor or participants' attention. Finally, we present preliminary results of an analysis of self-moderated multi-party human-human interaction that support several of the underlying assumptions of this formalization.
机译:社会辅助机器人(SAR)是一种越来越多的领域,致力于开发模型和算法,使机器人能够通过社交互动帮助人们实现目标(Feil-Seifer和Mataric 2005)。在此领域的事先工作集中在一对一的互动上,但有兴趣将这项工作扩展到多方互动。我们通过定义主持人的作用,为多方SAR进行贡献,该代理负责指导互动,但不一定直接参与任务。我们呈现审核任务的正式化作为通过操纵交互资源来调节目标定向多方交互的过程,包括物理资源,例如对象或工具,以及社会资源,如会话地板或参与者的注意力。最后,我们提出了对自我中度多方人类互动分析的初步结果,支持这一形式化的几个潜在假设。

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