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首页> 外文期刊>International Journal of Social Robotics >The Social Pragmatics of Communication with Social Robots: Effects of Robot Message Design Logic in a Regulative Context
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The Social Pragmatics of Communication with Social Robots: Effects of Robot Message Design Logic in a Regulative Context

机译:社会机器人的社会语用学:机器人信息设计逻辑在调节背景下的影响

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摘要

When social robots are used in communicative contexts, the norms, values, and expectations associated with the process of communication itself are important considerations. Message design logics (MDL) are working models of communication that lead to distinct ways of thinking about communication situations and reasoning from goals to messages. The three MDLs are expressive, conventional, and rhetorical. Respectively, they treat communication as a vehicle for the transmission of information, a game to be played cooperatively according to social norms, and the creation and negotiation of social selves and situations. In human communication, there is an observed preference for partners and messages that display the most sophisticated rhetorical MDL. The purpose of this study was to test/extend the theory of MDL and communication pragmatics in HRI. An online between-subjects experiment of 511 U.S. American adults was conducted to determine the effects of a social robot's MDL and goal structure on people's evaluations of the message and its source in a hypothetical regulative context, or a situation in which one individual is faced with the need to control or correct the behavior of another. Results demonstrated that rhetorical message designs led to the most positive impressions of the robot in terms of predicted communication success, goal-relevant attributes (ability to motivate and provide face support), competence, credibility, and attractiveness. Findings mirror results in earlier studies of human communication establishing an MDL sophistication advantage in communication dilemmas. Analysis of qualitative responses showed that participants understood the robot's overall communication pragmatic differently on the basis of the MDL it demonstrated.
机译:当社会机器人用于交际语境时,与通信过程相关的规范,价值观和期望是重要的考虑因素。消息设计逻辑(MDL)是沟通的工作模型,导致思考沟通情况和推理从目标到消息的思考方式。三个MDL是表现力的,常规和修辞。他们分别根据社会规范地处理信息作为传播信息的沟通,游戏,以及社会自我和情况的创作和谈判。在人类的沟通中,观察到偏好的伴侣和显示最复杂的修辞MDL的消息。本研究的目的是测试/延长HRI的MDL理论和通信语用学。在一个在美国美国成年人的主题实验之间进行了在线,以确定社会机器人MDL和目标结构对人们对讯息的评估的影响,并在假设的调节环境中,或者一个人面临的情况需要控制或纠正另一个的行为。结果表明,根据预测的通信成功,目标相关的属性(激励和提供面部支持的能力),竞争力,可信度和吸引力,导致机器人的最积极印象。调查结果镜导致早期的人类通信研究在通信困境中建立MDL复杂优势。定性响应分析表明,参与者在其证明的MDL的基础上务实地理解机器人的整体通信。

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