Attitude towards Dialogue Robot as Interactional Practice

Masato Komuro, Kotaro Funakoshi
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引用次数: 1

Abstract

The questions "How human-like is this dialogue robot?" and "How natural was the conversation with this dialogue robot?" are major concerns for dialogue robot researchers and developers. However, they have overlooked the way that unique conversational structures exist in actual conversations between humans and dialogue robots, which are different from those between humans. In this paper, we focus on the repetition of the user's own speech, and the user's commenting in the absence of a robot's response, in a conversation with a dialogue robot. These phenomena are unique to conversations with dialogue robots. When the user's speech is not inputted into dialogue robots, users often repeat their own speech. In addition, when the repeated speech is also not inputted to the dialogue robot, users often comment on the absence of response from the robot by giving reasons why the robot does not respond. These phenomena are organized in order, which means the repetition is performed firstly, and if the repeated speech is not inputted, then secondly, users will comment on the absence of response from the robot. We analyze these situations using conversation analysis methods, and discuss how these phenomena are organized in order, and how these phenomena are unique to conversations with dialogue robots. In the last part of the paper, we reconsider the "human-likeness" of dialogue robots.
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对话机器人作为互动实践的态度
“这个对话机器人有多像人类?”和“与这个对话机器人的对话有多自然?”是对话机器人研究人员和开发人员关注的主要问题。然而,他们忽略了在人类和对话机器人之间的实际对话中存在的独特对话结构,这与人类之间的对话不同。在本文中,我们关注的是在与对话机器人的对话中,用户自己的语音的重复,以及在没有机器人回应的情况下用户的评论。这些现象是与对话机器人对话所特有的。当用户的语音没有输入到对话机器人中时,用户经常重复自己的语音。此外,当重复的语音也没有输入到对话机器人时,用户经常通过给出机器人没有响应的原因来评论机器人没有响应。这些现象是按顺序组织的,这意味着首先进行重复,如果没有输入重复的语音,那么第二,用户将评论机器人没有响应。我们使用对话分析方法分析这些情况,并讨论这些现象是如何按顺序组织的,以及这些现象在与对话机器人的对话中是如何独特的。在论文的最后一部分,我们重新考虑了对话机器人的“人的相似性”。
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来源期刊
Transactions of The Japanese Society for Artificial Intelligence
Transactions of The Japanese Society for Artificial Intelligence Computer Science-Artificial Intelligence
CiteScore
0.40
自引率
0.00%
发文量
36
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