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AIコンパニオンコミュニティにおける擬人化:年齢、性別、感情の相関分析

原題: Anthropomorphism in AI Companion Communities: Age, Gender, and Emotional Correlates
著者: Afia Mubashir, Boden Moraski, Stephanie Choi, Rose E. Guingrich
公開日: 2026-06-29 | 分野: LLM AI チャットボット ヒューマンコンピュータインタラクション cs.CY cs.HC

※ 日本語タイトル・ポイントはAIによる自動生成です。正確な内容は原論文をご確認ください。

ポイント

  • RedditのAIコンパニオン関連コミュニティのデータを用い、ユーザーの属性とAIの擬人化傾向の関係を調査した。
  • 年齢や性別がAIの擬人化に与える影響や、感情表現との関連性を分析した点が本研究の新しい試みである。
  • 成人や女性の方がAIを擬人化しやすく、喜びなどのポジティブな感情表現が擬人化と強く結びついていることが判明した。

Abstract

Artificial intelligence (AI) systems are increasingly integrated into daily life, with millions now using AI chatbots built on Large Language Models (LLMs) for companionship. Both humanlike AI qualities and user predispositions to anthropomorphize relate to social consequences, such as increased trust, social health benefits, and psychological harms. Populations such as children, older adults, or those with mental health vulnerabilities may be particularly susceptible to anthropomorphism and its detriments, but mixed findings complicate the role of demographics. We used publicly available Reddit data from three popular AI companion subreddits to assess relationships between gender, age, anthropomorphism, and elicited emotions, to better understand how different people perceive and are affected by AI companions. We investigated three questions: How do age and gender relate to anthropomorphization of AI?, How does emotional expression relate to anthropomorphization?, and How do age and gender moderate emotion-anthropomorphization relationships? We found that adults and women anthropomorphize AI chatbots more than teens and men, and that positive emotional expression, particularly joy, is positively associated with anthropomorphization, while neutrality is negatively associated with anthropomorphism. Both relationships were stronger in adults than teens. Our findings suggest that the tendency to anthropomorphize may be more broadly distributed across age groups than previously expected, thereby prompting the reevaluation of existing digital safety norms.

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