ABSTRACT

In conversations between people and social robots, it is important that robots show agreements to user's opinions from the aspect of building relationships. However, robot's agreements are often incoherent to user's opinions due to speech recognition failures. This paper proposes a new approach called double-meaning agreement to conceal the incoherence. In this approach, we exploit an interaction protocol by two robots. The interaction protocol makes an agreement that has a double meaning and enables a user to interpret robot's incoherent agreement as coherent. To evaluate effects of double-meaning agreement, we conducted an experiment. The results showed that participants who talked with two robots using double-meaning agreement had better feelings of being understood by the robots than those who talked with one robot without double-meaning agreement. These findings will contribute to developing social robots to keep a conversation coherent and to build social relationships.

摘要

在人与社交机器人的对话中，机器人从建立关系的角度对用户的意见表示同意是很重要的。然而，由于语音识别失败，机器人的协议往往与用户的意见不一致。本文提出了一种新的方法，称为双重含义协议来隐藏不连贯性。在这种方法中，我们利用两个机器人的交互协议。交互协议制定了具有双重含义的协议，并使用户能够将机器人的不连贯协议解释为连贯的。为了评估双重含义一致性的效果，我们进行了一项实验。结果表明，与使用双重含义协议的两个机器人交谈的参与者比与没有双重含义协议的一个机器人交谈的参与者有更好的被机器人理解的感觉。这些发现将有助于开发社交机器人以保持对话的连贯性并建立社交关系。