人工智能亲和力的说服力:说服知识理论的视角

IF 2.1 Q3 BUSINESS
Umair Usman, TaeWoo Kim, Aaron Garvey, Adam Duhachek
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引用次数: 1

摘要

本文探讨了人工智能(AI)讨好人类这一新兴营销策略,并揭示了人工智能讨好人类会提高消费者对产品推荐的接受度。谄媚的积极效应是由消费者的自我提升动机所解释的,他们相信人工智能的谄媚评论是特别准确和客观的。此外,这些讨好效应还受到人工智能拟人化程度的影响。与显示拟人化好处的文献相反,与说服知识模型相一致的是,消费者认为类人(与类机械)人工智能系统的讨好行为更多是出于不可告人的动机,从而激活了消费者对讨好行为的防御机制。我们的理论和研究结果阐明了人工智能的设计特征是如何加强或削弱消费者对说服的抵制的。我们将讨论我们的研究结果对在各种营销环境中快速出现的复杂对话式人工智能的开发和道德利用的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Persuasive Power of AI Ingratiation: A Persuasion Knowledge Theory Perspective
This article examines the emerging marketing tactic of artificial intelligence (AI) ingratiation of humans and reveals that AI ingratiation leads to increased consumer acceptance of product recommendations. The positive effect of ingratiation is explained by consumers’ self-enhancing motivations to believe that AI’s ingratiating comments are particularly accurate and objective. Moreover, these ingratiation effects are moderated by the extent to which AI is anthropomorphized. Counter to the literature showing benefits of anthropomorphism and consistent with the persuasion knowledge model, consumers perceive ingratiation by humanlike (vs. machinelike) AI systems to be more driven by ulterior motives, thereby activating consumer defense mechanisms against ingratiation attempts. Our theory and findings elucidate how AI design features serve to strengthen or weaken consumer resistance to persuasion. We discuss the implications of our findings for the development and ethical utilization of the sophisticated conversational AI that are fast emerging in various marketing contexts.
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来源期刊
Journal of the Association for Consumer Research
Journal of the Association for Consumer Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
4.60
自引率
7.70%
发文量
54
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