Understanding human-artificial intelligence (AI) interactions is a growing academic interest. This article conceptualizes AI as a persuasion agent and reviews the recent literature on AI through the lens of persuasion knowledge. It presents research on AI acceptance and aversion in terms of the properties of the AI itself (e.g., anthropomorphism, functionality, and usability), the properties of individuals interacting with AI (e.g., individual differences in judgments of AI, perceived uniqueness, and task performance), and the context of the interaction (e.g., type of decision, domain, and usage occasion). In assessing AI interaction research through this lens, we systematically categorize these findings and identify promising future research directions.

中文翻译：

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通过说服知识镜头评估人工智能的接受能力


了解人类与人工智能 (AI) 的相互作用引起了越来越多的学术兴趣。本文将人工智能概念化为说服代理，并通过说服知识的视角回顾了人工智能的最新文献。它从人工智能本身的属性（例如，拟人化、功能性和可用性）、与人工智能交互的个体的属性（例如，人工智能判断的个体差异、感知的独特性和任务）方面提出了对人工智能接受和厌恶的研究。性能），以及交互的上下文（例如，决策类型、领域和使用场合）。在通过这个视角评估人工智能交互研究时，我们系统地对这些发现进行分类，并确定有前途的未来研究方向。