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易受攻击的机器人在人机协作中积极塑造人类的对话动态。

Vulnerable robots positively shape human conversational dynamics in a human-robot team.

机构信息

Yale Institute for Network Science, Yale University, New Haven, CT 06520.

Department of Sociology, Yale University, New Haven, CT 06520.

出版信息

Proc Natl Acad Sci U S A. 2020 Mar 24;117(12):6370-6375. doi: 10.1073/pnas.1910402117. Epub 2020 Mar 9.

Abstract

Social robots are becoming increasingly influential in shaping the behavior of humans with whom they interact. Here, we examine how the actions of a social robot can influence human-to-human communication, and not just robot-human communication, using groups of three humans and one robot playing 30 rounds of a collaborative game ( = 51 groups). We find that people in groups with a robot making vulnerable statements converse substantially more with each other, distribute their conversation somewhat more equally, and perceive their groups more positively compared to control groups with a robot that either makes neutral statements or no statements at the end of each round. Shifts in robot speech have the power not only to affect how people interact with robots, but also how people interact with each other, offering the prospect for modifying social interactions via the introduction of artificial agents into hybrid systems of humans and machines.

摘要

社交机器人在塑造与其互动的人类行为方面的影响力越来越大。在这里,我们研究了社交机器人的行为如何影响人际交流,而不仅仅是机器人与人类的交流,我们使用了三组人和一个机器人进行了 30 轮协作游戏(=51 组)。我们发现,与控制组相比,在有机器人发表脆弱言论的小组中,人们之间的交流要多得多,交流的分配也更加平均,而且对小组的评价也更加积极。机器人语言的变化不仅有能力影响人们与机器人的互动方式,也影响人们彼此之间的互动方式,为通过将人工智能引入人机混合系统来改变社交互动提供了可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a5/7104178/5fc3b3125c21/pnas.1910402117fig01.jpg

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