揭示机器人欺骗能力的感知社会智力和解释水平的第一印象的探索

Kantwon Rogers, A. Howard
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如果一个机器人告诉你它可以为了你的利益而撒谎,这将如何改变你对它的看法?本文提出了一种混合方法的实证研究,探讨了欺骗或诚实能力的披露如何影响机器人的感知社会智能和解释水平。我们首先对198名土耳其机器人参与者进行了一项研究,然后对15名本科生进行了重复研究,以获得定性数据。我们的研究结果表明,机器人自我介绍的方式会对它被感知的方式产生显著影响——即使只是一次曝光。特别是,当机器人显示出它认为自己有能力撒谎时,它认为这是为了人类的最大利益,人们明显发现机器人比隐藏任何诚实方面或显示完全真实的机器人更不值得信赖。此外,与那些对自己的欺骗能力持透明态度的机器人相比,那些坦率地说出自己真实能力的机器人被认为具有更低的解释。这些结果为机器人欺骗的研究领域增加了急需的知识,并可以在考虑部署欺骗机器人时为设计师和政策制定者提供未来实践的信息。
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Exploring First Impressions of the Perceived Social Intelligence and Construal Level of Robots that Disclose their Ability to Deceive
If a robot tells you it can lie for your benefit, how would that change how you perceive it? This paper presents a mixed-methods empirical study that investigates how disclosure of deceptive or honest capabilities influences the perceived social intelligence and construal level of a robot. We first conduct a study with 198 Mechanical Turk participants, and then a replication of it with 15 undergraduate students in order to gain qualitative data. Our results show that how a robot introduces itself can have noticeable effects on how it is perceived–even from just one exposure. In particular, when revealing having ability to lie when it believes it is in the best interest of a human, people noticeably find the robot to be less trustworthy than a robot that conceals any honesty aspects or reveals total truthfulness. Moreover, robots that are forthcoming with their truthful abilities are seen in a lower construal than one that is transparent about its deceptive abilities. These results add much needed knowledge to the understudied area of robot deception and could inform designers and policy makers of future practices when considering deploying robots that deceive.
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