AIは人との関係と同じような視点で理解できるか? ~ 7割が助言を頼り、4割が信頼を寄せるAI~

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2025-05-27 早稲田大学

早稲田大学文学学術院の楊帆助手と小塩真司教授らの研究チームは、中国の若者361人を対象に、AIとの関係性を心理学の「愛着理論」の観点から調査しました。その結果、75%がAIに助言を求め、39%が「常に頼れる存在」と感じていることが明らかになりました。また、AIとの関係においても、人間関係と同様に「見捨てられ不安」や「親密性回避」といった傾向が見られました。この研究は、AIとの関係性を人間関係と同じ視点で理解する可能性を示し、今後のAI設計や倫理的配慮の重要性を示唆しています。

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愛着理論を用いた人間とAIとの関係における経験の概念化と測定 Using attachment theory to conceptualize and measure the experiences in human-AI relationships

Fan Yang & Atsushi Oshio
Current Psychology  Published:09 May 2025
DOI:https://doi.org/10.1007/s12144-025-07917-6

Abstract

Artificial intelligence (AI) is growing “stronger and wiser,” leading to increasingly frequent and varied human-AI interactions. This trend is expected to continue. Existing research has primarily focused on trust and companionship in human-AI relationships, but little is known about whether attachment-related functions and experiences could also be applied to this relationship. In two pilot studies and one formal study, the current project first explored using attachment theory to examine human-AI relationships. Initially, we hypothesized that interactions with generative AI mimic attachment-related functions, which we tested in Pilot Study 1. Subsequently, we posited that experiences in human-AI relationships could be conceptualized via two attachment dimensions, attachment anxiety and avoidance, which are similar to traditional interpersonal dynamics. To this end, in Pilot Study 2, a self-report scale, the Experiences in Human-AI Relationships Scale, was developed. Further, we tested its reliability and validity in a formal study. Overall, the findings suggest that attachment theory significantly contributes to understanding the dynamics of human-AI interactions. Specifically, attachment anxiety toward AI is characterized by a significant need for emotional reassurance from AI and a fear of receiving inadequate responses. Conversely, attachment avoidance involves discomfort with closeness and a preference for maintaining emotional distance from AI. This implies the potential existence of shared structures underlying the experiences generated from interactions, including those with other humans, pets, or AI. These patterns reveal similarities with human and pet relationships, suggesting common structural foundations. Future research should examine how these attachment styles function across different relational contexts.

1600情報工学一般
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