Can robot advisers encourage honesty?: Considering the impact of rule, identity, and role-based moral advice

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Boyoung Kim , Ruchen Wen , Ewart J. de Visser , Chad C. Tossell , Qin Zhu , Tom Williams , Elizabeth Phillips
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Abstract

A growing body of human–robot interaction literature is exploring whether and how social robots, by utilizing their physical presence or capacity for verbal and nonverbal behavior, can influence people’s moral behavior. In the current research, we aimed to examine to what extent a social robot can effectively encourage people to act honestly by offering them moral advice. The robot either offered no advice at all or proactively offered moral advice before participants made a choice between acting honestly and cheating, and the underlying ethical framework of the advice was grounded in either deontology (rule-focused), virtue ethics (identity-focused), or Confucian role ethics (role-focused). Across three studies (N=1,693), we did not find a robot’s moral advice to be effective in deterring cheating. These null results were held constant even when we introduced the robot as being equipped with moral capacity to foster common expectations about the robot among participants before receiving the advice from it. The current work led us to an unexpected discovery of the psychological reactance effect associated with participants’ perception of the robot’s moral capacity. Stronger perceptions of the robot’s moral capacity were linked to greater probabilities of cheating. These findings demonstrate how psychological reactance may impact human–robot interaction in moral domains and suggest potential strategies for framing a robot’s moral messages to avoid such reactance.

机器人顾问能否鼓励诚实?考虑基于规则、身份和角色的道德建议的影响
越来越多的人机交互文献都在探讨社交机器人是否以及如何利用其身体存在或语言和非语言行为能力来影响人们的道德行为。在目前的研究中,我们的目标是研究社交机器人在多大程度上可以通过向人们提供道德建议来有效鼓励人们诚实行事。在参与者选择诚实行事还是作弊之前,机器人要么不提供任何建议,要么主动提供道德建议,而建议的基本道德框架则是基于义务论(以规则为中心)、美德伦理(以身份为中心)或儒家角色伦理(以角色为中心)。在三项研究中(N=1,693),我们没有发现机器人的道德建议能有效阻止作弊行为。即使我们介绍机器人具备道德能力,让参与者在接受机器人的建议之前就对机器人产生共同的期望,这些无效的结果仍然保持不变。目前的工作让我们意外地发现了与参与者对机器人道德能力的认知相关的心理反应效应。对机器人道德能力的更强认知与更高的作弊概率相关。这些研究结果表明了心理反应可能会如何影响道德领域的人机互动,并为机器人道德信息的框架设计提出了避免这种反应的潜在策略。
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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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