发表机构
Le Mans Université（勒芒大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出用户侧框架，通过具身-感知、心理-行为和关系-自传三个身份内容域表征长期具身AI，并评估系统变化后的身份连续性，作为生命周期设计的心理目标。
AI 中文摘要
长期具身AI将经历学习、模型更新、记忆压缩、硬件维修以及跨具身迁移。对于已与此类系统建立持续关系的用户而言，这些变化不仅引发产品一致性问题，还引发身份连续性问题：变化后的系统是否仍被体验为同一个特定智能体。现有研究表明，人机关系可能发展出关系特殊性；机器人学和人工身份研究已识别出跨具身的身份和迁移信号；重大更新或平台中断可能伴随关系丧失和恢复愿望。本文提出一个用户侧框架，其中长期具身AI通过至少三个开放身份内容域组织的智能体特定身份表征来表示：具身-感知域、心理-行为域和关系-自传域。来自这些域的信息并非同等加权；共享历史、关系角色和情境响应性可能使某些信息比其他信息更具身份诊断性。系统变化后，用户可能以加权方式整合连续性和不连续性证据，产生从相对强身份连续性经模糊或部分连续性到明确身份不连续性的连续统判断。因果-历史来源和用户参与被视为情境证据而非第四个身份内容域。该框架还提出将身份连续性作为生命周期设计的心理目标，包括记忆选择、模型更新和跨具身迁移，并在隐私和用户控制约束下实现。
英文摘要
Long-term embodied AI will undergo learning, model updates, memory compression, hardware repair, and migration across embodiments. For users who have formed sustained relationships with such systems, these changes raise not only a problem of product consistency but also one of identity continuity: whether the changed system is still experienced as the same particular agent. Existing research suggests that human-AI relationships may develop relational particularity, that robotics and artificial-identity research has identified identity and migration signals across embodiments, and that major updates or platform disruptions can be accompanied by relational loss and restoration desire. This article proposes a user-side framework in which long-term embodied AI is represented through an agent-specific identity representation organized by at least three open identity-content domains: embodied-perceptual, psychological-behavioral, and relational-autobiographical. Information from these domains is not equally weighted; shared history, relational roles, and contingent responsiveness may make some information more identity-diagnostic than others. After system change, users may integrate continuity and discontinuity evidence in a weighted manner, yielding judgments along a continuum from relatively strong identity continuity through ambiguity or partial continuity to clear identity discontinuity. Causal-historical provenance and user participation are treated as contextual evidence rather than a fourth identity-content domain. The framework also proposes identity continuity as a psychological objective for lifecycle design, including memory selection, model updating, and migration across embodiments, under constraints of privacy and user control.
Comments16 pages, 1 figure, 1 table
