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社交人机交互中机器人说服策略的研究

Investigating Strategies for Robot Persuasion in Social Human-Robot Interaction.

作者信息

Saunderson Shane, Nejat Goldie

出版信息

IEEE Trans Cybern. 2022 Jan;52(1):641-653. doi: 10.1109/TCYB.2020.2987463. Epub 2022 Jan 11.

Abstract

Persuasion is a fundamental aspect of how people interact with each other. As robots become integrated into our daily lives and take on increasingly social roles, their ability to persuade will be critical to their success during human-robot interaction (HRI). In this article, we present a novel HRI study that investigates how a robot's persuasive behavior influences people's decision making. The study consisted of two small social robots trying to influence a person's answer during a jelly bean guessing game. One robot used either an emotional or logical persuasive strategy during the game, while the other robot displayed a neutral control behavior. The results showed that the Emotion strategy had significantly higher persuasive influence compared to both the Logic and Control conditions. With respect to participant demographics, no significant differences in influence were observed between age or gender groups; however, significant differences were observed when considering participant occupation/field of study (FOS). Namely, participants in business, engineering, and physical sciences fields were more influenced by the robots and aligned their answers closer to the robot's suggestion than did those in the life sciences and humanities professions. The discussions provide insight into the potential use of robot persuasion in social HRI task scenarios; in particular, considering the influence that a robot displaying emotional behaviors has when persuading people.

摘要

说服是人们相互交往的一个基本方面。随着机器人融入我们的日常生活并承担越来越多的社交角色,它们的说服能力对于人机交互(HRI)中的成功至关重要。在本文中,我们提出了一项新颖的人机交互研究,该研究调查了机器人的说服行为如何影响人们的决策。该研究由两个小型社交机器人组成,它们在一个猜软糖游戏中试图影响一个人的答案。一个机器人在游戏中使用情感或逻辑说服策略,而另一个机器人则表现出中立的控制行为。结果表明,与逻辑和控制条件相比,情感策略具有显著更高的说服影响力。关于参与者的人口统计学特征,在年龄或性别组之间未观察到影响力的显著差异;然而,在考虑参与者的职业/研究领域(FOS)时观察到了显著差异。具体而言,商业、工程和物理科学领域的参与者比生命科学和人文专业的参与者更容易受到机器人的影响,并且他们的答案更接近机器人的建议。这些讨论为机器人说服在社交人机交互任务场景中的潜在应用提供了见解;特别是考虑到展示情感行为的机器人在说服人们时所产生的影响。

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