说真的,一个机器人对另一个说了什么?被机器人排除在交流之外会引起社会排斥感

Q1 Social Sciences HumanMachine Communication Journal Pub Date : 2023-07-01 DOI:10.30658/hmc.6.7
Astrid M. Rosenthal-von der Pütten, Nikolai Bock
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引用次数: 1

摘要

虽然人类实际上需要一些公开的沟通渠道来传递信息,无论是口头的还是非口头的,但机器人可以利用它们的网络连接快速地向其他机器人传递信息。这就提出了一个问题,人类是如何感知这种隐蔽的机器人与机器人之间的交流的。目前的研究调查了两个机器人之间交流的透明度如何影响人类对这些机器人的信任和感知,以及他们在互动中被包括/被排斥的感觉。分析了三种不同的机器人-机器人交流方式:无声语言、机器人语言和自然语言。结果表明,当机器人用机器人语言(哔哔声)传递信息时,与沉默(即隐蔽)或自然语言条件下相比,这会导致更低的信任度和更多的社会排斥感。研究结果支持了这样一种观点,即人类对排斥的迹象过于敏感,这种排斥似乎可以在这种公开但非人类的机器人-机器人交流中发现。
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Seriously, what did one robot say to the other? Being left out from communication by robots causes feelings of social exclusion
While humans actually need some overt communication channel to transmit information, be it verbally or nonverbally, robots could use their network connection to transmit information quickly to other robots. This raises the question how this covert robot-robot communication is perceived by humans. The current study investigates how transparency about communication happening between two robots affects humans’ trust in and perception of these robots as well as their feeling of being included/excluded in the interaction. Three different robot-robot communication styles were analyzed: silent, robotic language, and natural language. Results show that when robots transmit information in a robotic language (beep sounds) this leads to lower trust and more feelings of social exclusion than in the silent (i.e., covert) or natural language conditions. Results support the notion that humans are over-sensitive to signs of ostracism which seems to be detected in this style of overt but nonhuman robot-robot communication.
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
期刊最新文献
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