修辞策略和肤色对辅助决策中主体说服力的影响

Amama Mahmood, Chien-Ming Huang
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引用次数: 0

摘要

外观和语言线索可能会影响人们和智能虚拟代理(IVAs)如何被他人感知和评估;外表(如肤色)与各种内隐偏见有关,比如更认同刻板印象中的有吸引力的面孔,而特定的语言线索可能有效地增加说服力。在本文中,我们报告了一项在线研究(N=59),该研究评估了策略性语言线索(专业程度:高vs低)如何塑造与种族刻板印象(肤色:深色vs浅色)相关的隐性劣势。我们发现,无论肤色如何,具有高水平专业知识的虚拟代理都被认为更有说服力、更有统治力、更聪明、更讨人喜欢,而且肤色较深的参与者更遵守IVAs。我们的研究结果表明,IVAs的设计需要慎重考虑外观和语言行为等因素,以达到预期的结果。
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Effects of rhetorical strategies and skin tones on agent persuasiveness in assisted decision-making
Appearance and linguistic cues may influence how both people and Intelligent Virtual Agents (IVAs) are perceived and evaluated by others; appearance (e.g., skin tone) has been linked to various implicit biases such as agreeing more with stereotypical attractive faces, while particular linguistic cues may effectively increase persuasiveness. In this paper, we report an online study (N=59) evaluating how strategic linguistic cues (expertise: high vs. low) may shape the implicit disadvantages associated with ethnic stereotypes (skin tone: dark vs. light). We found that a virtual agent with a high level of expertise was considered more persuasive, dominant, intelligent, and likeable regardless of their skin tone, and that participants complied more with IVAs with a darker skin tone. Our results suggest that the design of IVAs requires the deliberate considerations of factors such as appearance and linguistic behaviors in order to achieve intended outcomes.
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