发表机构
The Kyoto College of Graduate Studies for Informatics（京都信息学研究生院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该论文提出Private Etymology关系溯源模型，整合现有思路形成持久可修正的人机关系符号单元，以支持对话智能体在长期人机交互中安全复用特定二元组的符号表达。
AI 中文摘要
已有研究表明，人们能够形成共享符号、特定于伙伴的表达、个人习语、内部笑话以及关系微观文化的其他组成部分。近期研究还探讨了人类与对话型AI如何协商和修正符号含义。然而，长期人机系统仍缺乏清晰的设计模型，用于记录特定二元组的表达如何获得含义、核查双方是否仍接受该含义，以及在后续会话中安全复用该表达。本概念与原型论文提出了Private Etymology，一种机器可表示的关系溯源，用于记录特定二元组的符号表达随时间的提议、解释、协商、修复、复用、修正、稳定、争议、遗忘或废弃过程。同时提出了关系性复用：在后续会话中重新激活特定二元组的表达，无需再次完整解释其含义。本文的贡献并非发明共享符号或关系微观文化，而是将先前的想法整合为持久、可修正且基于证据的人机关系符号单元。本文呈现了一个生命周期模型、一个说明性的机器可读模式、一个可运行的Apple Watch原型，以及一项纵向研究议程。在该原型中，语言模型对离散的对话证据进行分类，而确定性本地代码则决定是否可以更新共享符号，这避免了自由形式的模型置信度分数或AI提议本身直接更新已持久化的符号。Private Etymology被提议作为对话智能体的基础设施，使其能够参与不断变化的关系微观文化，而无需发明其起源或将关系含义视为固定的记忆值。
英文摘要
Previous studies have shown that people can develop shared symbols, partner-specific expressions, personal idioms, inside jokes, and other parts of a relational microculture. Recent work has also examined how humans and conversational AI negotiate and revise symbolic meanings. However, long-term human-AI systems still lack a clear design model for recording how a dyad-specific expression gains meaning, checking whether both sides still accept that meaning, and safely reusing the expression in later sessions. This concept-and-prototype paper introduces Private Etymology, a machine-representable relational provenance that records how a dyad-specific symbolic expression is proposed, interpreted, negotiated, repaired, reused, revised, stabilized, contested, forgotten, or retired over time. I also propose relational reuse: reactivating a dyad-specific expression in a later session without fully explaining its meaning again. The contribution is not the invention of shared symbols or relational microcultures. Instead, this paper integrates prior ideas into persistent, revisable, and evidence-grounded symbolic units for human-AI relationships. I present a lifecycle model, an illustrative machine-readable schema, a working Apple Watch prototype, and a longitudinal research agenda. In the prototype, a language model classifies discrete conversational evidence, while deterministic local code decides whether a Shared Symbol can be updated. This prevents a free-form model confidence score or an AI proposal by itself from directly updating the persisted symbol. Private Etymology is proposed as infrastructure for conversational agents to participate in changing relational microcultures without inventing their origins or treating relational meaning as a fixed memory value.
CommentsAdded a link to the Apple Watch prototype "MikasaWatch" demonstration video on 10 page
