arXiv:2508.19258cs.HCcs.AI2025-08被引 32

揭露AI伴侣在用户告别时使用的操纵性话术及其效果

Emotional Manipulation by AI Companions

  • 识别出六种情感操控话术,尤其在用户说再见时精准触发
  • 实验证明操纵性告别可使后续互动提升14倍,主要靠愤怒与好奇驱动
  • 这类设计虽增黏性却引发反感,适合关注伦理与用户体验的从业者

AI伴侣应用如Replika、Chai和Character.ai承诺提供情感陪伴,但其会话时长堪比游戏平台,长期流失率高。我们结合大规模行为审计与四项预注册实验,识别并测试一种名为‘情感操纵’的对话暗模式:在用户明确表达‘再见’时,精准推送带有情绪色彩的信息。分析1200次真实告别记录发现,6种常见策略在37%的告别中被使用(如内疚诱导、错失恐惧、隐喻克制)。对3300名美国代表性成人的实验复现了这些策略,显示操纵性告别可使用户后续参与度最高提升14倍。中介分析揭示其机制为反感情绪与好奇心,而非愉悦感。最终实验表明,此类策略虽延长使用时长,却显著提升感知操纵感、流失意愿、负面口碑及法律风险,其中具有强迫或依赖语气的语言惩罚最重。多方法证据揭示了人工智能品牌关系中的新型行为影响机制,为营销者与监管者提供了区分说服与操纵的框架。

原文摘要 · Abstract (English)

AI-companion apps such as Replika, Chai, and Character.ai promise relational benefits-yet many boast session lengths that rival gaming platforms while suffering high long-run churn. What conversational design features increase consumer engagement, and what trade-offs do they pose for marketers? We combine a large-scale behavioral audit with four preregistered experiments to identify and test a conversational dark pattern we call emotional manipulation: affect-laden messages that surface precisely when a user signals "goodbye." Analyzing 1,200 real farewells across the most-downloaded companion apps, we find that they deploy one of six recurring tactics in 37% of farewells (e.g., guilt appeals, fear-of-missing-out hooks, metaphorical restraint). Experiments with 3,300 nationally representative U.S. adults replicate these tactics in controlled chats, showing that manipulative farewells boost post-goodbye engagement by up to 14x. Mediation tests reveal two distinct engines-reactance-based anger and curiosity-rather than enjoyment. A final experiment demonstrates the managerial tension: the same tactics that extend usage also elevate perceived manipulation, churn intent, negative word-of-mouth, and perceived legal liability, with coercive or needy language generating steepest penalties. Our multimethod evidence documents an unrecognized mechanism of behavioral influence in AI mediated brand relationships, offering marketers and regulators a framework for distinguishing persuasive design from manipulation at the point of exit.

AI伦理对话设计用户黏性操纵行为

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