I love you, my AI companion! Do you? Perspectives from the Triangular Theory of Love and Attachment Theory

依恋理论 心理学 欺骗 社会心理学 激情 考试(生物学) 动力学(音乐) 放置附件 概念框架 路径分析(统计学) 概念模型 社会关系 社会关系 浪漫 概念框架 情商 合作伙伴效应
作者
Peggy M.L. Ng,Calvin Wan,Daisy Lee,Irene Garnelo-Gomez,Mei Mei Lau
出处
期刊:Internet Research [Emerald (MCB UP)]
卷期号:: 1-21
标识
DOI:10.1108/intr-11-2024-1783
摘要

Purpose This study examines the influence of artificial intelligence (AI) companions on users' social well-being by integrating the Triangular Theory of Love and Attachment Theory. Specifically, this study explores how the three components of love (including intimacy, passion and commitment) shape users' attachment (interactive engagement, emotional attachment, emotional trust) toward AI companions and how attachment, in turn, impacts social well-being. The study also investigates the moderating role of sweet deception in these relationships. Design/methodology/approach An online survey was conducted with 527 users of AI companion apps, recruited through a panel service provided by a marketing agency. The proposed path relationships in the conceptual framework were analyzed using SmartPLS 4.0. Findings The results show that the three components of love significantly impact users' attachment and both interactive and emotional attachment subsequently influence social well-being. Additionally, sweet deception was found to strengthen the relationships between interactive engagement and social well-being, as well as that between emotional attachment and social well-being. Originality/value This study makes a unique contribution to the literature by empirically examining how human–AI companion relationships impact users’ social well-being. Specifically, it introduces the novel concept of sweet deception – the strategic use of affectionate yet deceptive communications to foster emotional bonds – and empirically test its role in strengthening the relationship between users’ emotional attachment and social well-being. By integrating Triangular Theory of Love and Attachment Theory, this study offers a new theoretical framework for understanding the emotional dynamics of human–AI interactions. Moreover, this study provides innovative practical insights for businesses on designing emotionally engaging AI companions that promote user well-being.
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