Artificial Intelligence and Impression Management: Consequences of Autonomous Conversational Agents Communicating on One’s Behalf
Artificial Intelligence and Impression Management: Consequences of Autonomous Conversational Agents Communicating on One’s Behalf
复制标题
人工智能和印象管理：自主对话代理代表个人进行交流的后果
DOI：
10.1093/hcr/hqac009
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发表时间：
2022
影响因子：
5
通讯作者：
Leonardi, Paul M.
中科院分区：
文献类型：
--
作者：
Endacott, Camille G.;Leonardi, Paul M.
具有高度会话流畅性的自主操作的智能通信技术（AICT）可以代表其主要用户做出通信决策，并代表他们与这些主要用户的受众进行通信。在这项研究中，我们探讨如何参与的AICT在通信活动的形状如何校长从事印象管理和他们的通信伙伴如何形成他们的印象。通过对两种人工智能调度技术的用户进行归纳、比较的实地研究，我们发现了三种沟通实践，当AICT代表他们进行沟通时，负责人通过这些实践进行印象管理：解释、外交和阶段礼貌。我们还揭示了三个过程，通过通信伙伴形成的印象时，他们通过AICT与他们沟通：确认，转移，和划分。我们表明，通信合作伙伴可以将AICT的印象传递给校长本人，并概述了这种传递是和不可能的条件。我们讨论了这些研究结果的影响，在人工智能时代的印象管理和形成的技术中介的研究，并提出建议，以指导未来的实证研究。
Artificially intelligent communication technologies (AICTs) that operate autonomously with high degrees of conversational fluency can make communication decisions on behalf of their principal users and communicate with those principals’ audiences on their behalf. In this study, we explore how the involvement of AICTs in communication activities shapes how principals engage in impression management and how their communication partners form impressions of them. Through an inductive, comparative field study of users of two AI scheduling technologies, we uncover three communicative practices through which principals engaged in impression management when AICTs communicate on their behalf:interpretation, diplomacy,andstaging politeness. We also uncover three processes through which communication partners formed impressions of principals when communicating with them via AICTs:confirmation, transference,andcompartmentalization. We show that communication partners can transfer impressions of AICTs to principals themselves and outline the conditions under which such transference is and is not likely. We discuss the implications of these findings for the study of technological mediation of impression management and formation in the age of artificial intelligence and present propositions to guide future empirical research.