Implicit Communication in a Joint Action
Implicit Communication in a Joint Action
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联合行动中的隐式沟通
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Claire Liang
中科院分区：
文献类型：
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作者：
Ross A. Knepper;Christoforos Mavrogiannis;Julia Proft;Claire Liang
机器人必须知道他们的行为将如何在上下文中被解释。在联合活动的背景下执行的动作包括两个方面：功能性和交际性。功能成分实现行动的目标，而它的交际成分，当存在时，在联合活动中向行动者的伙伴表达一些信息。对这种沟通的解释需要利用对所有参与者公开的信息，即所谓的共同点。人类的大部分交流都是通过这种隐含的机制进行的，人类不能不从大多数行为中推断出某种意义--不管它是否是行为者的意图。我们提出了一个框架，机器人利用正常的功能动作之上的沟通渠道，更有效地与人类合作伙伴。我们认为，演员和观察员的作用，无论是单独和共同的，在隐式通信，以及时间的影响。我们还展示了框架如何映射到各种行动模式，包括自然语言和运动。我们认为这些模式的行动在各种人机交互领域，包括社会导航和协作装配。
Robots must be cognizant of how their actions will be interpreted in context. Actions performed in the context of a joint activity comprise two aspects: functional and communicative. The functional component achieves the goal of the action, whereas its communicative component, when present, expresses some information to the actor's partners in the joint activity. The interpretation of such communication requires leveraging information that is public to all participants, known as common ground. Much of human communication is performed through this implicit mechanism, and humans cannot help but infer some meaning - whether or not it was intended by the actor - from most actions. We present a framework for robots to utilize this communicative channel on top of normal functional actions to work more effectively with human partners. We consider the role of the actor and the observer, both individually and jointly, in implicit communication, as well as the effects of timing. We also show how the framework maps onto various modes of action, including natural language and motion. We consider these modes of action in various human-robot interaction domains, including social navigation and collaborative assembly.