探索死后数字灵魂的两种交互设计，揭示情感共鸣如何超越真实性的关键
Designing Conversations with the Dead: How People Engage with Generative Ghosts
- 对比第三人称叙述与第一人称重生两种交互模式
- 用户更倾向第一人称带来的情感即时性，但担心过度依赖
- 互动本质是用户记忆与AI共同构建的协作过程
我们研究了生成式亡灵（generative ghosts）设计中的两种选择：表示模式（AI以第三人称谈论逝者）和重生模式（AI以逝者第一人称说话）。通过16名参与者的定性研究，探讨两种模式对真实性、情感体验和风险的影响。重生模式因情感即时性更受欢迎，但参与者也表达了对过度依赖的担忧；表示模式虽被用于记忆联结而非对话存在，但用户常无视此区分，仍进行对话。两种模式下，用户均更重视情感共鸣而非事实准确。研究指出，语气、语言风格和对话节奏等源于用户记忆的独特因素，深刻影响交互体验，并主张此类互动始终是用户与AI的协作产物。
原文摘要 · Abstract (English)
We examine how people experience two choices in the design of generative ghosts, AI systems that are trained on data of the dead: representation, where an AI speaks about a deceased person in the third person, and reincarnation, where the AI speaks as the deceased in the first person. Through a qualitative user study with 16 participants, we explore how each shaped authenticity, affect, and risk. Reincarnation was preferred for its immediacy, but participants shared fears of over-reliance. Representation was preferred for engaging with memory over conversational presence, though participants often ignored this distinction, engaging in dialogue despite third-person framing. Across both modes, participants privileged affective resonance over factual fidelity. We conclude by showing how factors such as tone, language, and conversational rhythm -- factors unique to the user's memory of the deceased -- shape interactions with generative ghosts, and argue that those interactions are always collaborative.
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