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The Persuasive Power of AI Ingratiation: A Persuasion Knowledge Theory Perspective 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 Pub Date : 2024-07-01 DOI: 10.1086/730280
Umair Usman, TaeWoo Kim, Aaron Garvey, Adam Duhachek
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.
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。
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引用次数: 1
Being Human in the Age of AI 人工智能时代的人类
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-05 DOI: 10.1086/730788
Stefano Puntoni, Klaus Wertenbroch
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引用次数: 2
How artificial intelligence constrains the human experience 人工智能如何制约人类体验
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-03 DOI: 10.1086/730709
Ana Valenzuela, Stefano Puntoni, Donna Hoffman, Noah Castelo, Julian De Freitas, Berkeley J. Dietvorst, Christian Hildebrand, Young Eun Huh, Robert Meyer, Miriam E Sweeney, Sanaz Talaifar, Geoff Tomaino, Klaus Wertenbroch
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引用次数: 0
GIVING AI A HUMAN TOUCH: HIGHLIGHTING HUMAN INPUT INCREASES THE PERCEIVED HELPFULNESS OF ADVICE FROM AI COACHES 赋予人工智能以人情味:强调人工智能教练的建议会增加人们对其有用性的感知
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-03 DOI: 10.1086/730710
Yue Zhang, Mirjam Tuk, A. Klesse
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引用次数: 0
Acceptance of Automated Vehicles is Lower for Self than Others 自己对自动驾驶汽车的接受度低于他人
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-02-07 DOI: 10.1086/729900
Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit, Carey K. Morewedge
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引用次数: 0
Acceptance of Automated Vehicles is Lower for Self than Others 自己对自动驾驶汽车的接受度低于他人
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-02-07 DOI: 10.1086/729900
Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit, Carey K. Morewedge
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引用次数: 0
The Effect of Variety in Past Consumption on Openness to Personalized Recommendation Services 过去消费的多样性对个性化推荐服务开放度的影响
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-01-26 DOI: 10.1086/729623
Sonia Seung-Eun Kim, Donald R. Lehmann
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引用次数: 0
Demographic Pricing in the Digital Age: Assessing Fairness Perceptions in Algorithmic versus Human-Based Price Discrimination 数字时代的人口定价:评估算法价格歧视与人工价格歧视中的公平观念
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-01-23 DOI: 10.1086/729440
Nofar Duani, Alixandra Barasch, Vicki Morwitz
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引用次数: 0
Exploration and Exploitation in Consumer Automation: Visualizing IoT Interactions with Topological Data Analysis 消费自动化中的探索与开发:利用拓扑数据分析实现物联网交互可视化
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2024-01-11 DOI: 10.1086/729384
T. Novak, Donna L Hoffman
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引用次数: 0
Priming Young Minds – The Appeal of Gambling Advertising to Children and Young People. 诱发幼小的心灵--赌博广告对儿童和青少年的吸引力》(Priming Young Minds - The Appeal of Gambling Advertising to Children and Young People.
IF 2.6 Q2 Economics, Econometrics and Finance Pub Date : 2023-12-22 DOI: 10.1086/729290
R. Rossi, Agnes Nairn
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引用次数: 0
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Journal of the Association for Consumer Research
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