AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda
本文提出一个概念框架，解释AI拟人化如何通过自我一致性影响用户将AI整合进自我概念的过程，并探讨调节因素及个人、群体和社会层面的后果，为未来研究提供议程。
This paper examines how users of anthropomorphised artificially intelligent (AI) agents, which possess capabilities to mimic humanlike behaviour, relate psychologically to such agents in terms of their self-concept. The proposed conceptual framework specifies different levels of anthropomorphism of AI agents and, drawing on insights from psychology, marketing and human–computer interaction literature, establishes a conceptual link between AI anthropomorphism and self-congruence. The paper then explains how this can lead to self–AI integration, a novel concept that articulates the process of users integrating AI agents into their self-concept. However, these effects can depend on a range of moderating factors, such as consumer traits, situational factors, self-construal and social exclusion. Crucially, the conceptual framework specifies how these processes can lead to specific personal-, group- and societal-level consequences, such as emotional connection and digital dementia. The research agenda proposed on the basis of the conceptual framework identifies key areas of interest that should be tackled by future research concerning this important phenomenon.