AI陪伴关系的脆弱性：人机关系中的本体论、结构性与规范性不确定性
The Fragility of AI Companionship: Ontological, Structural, and Normative Uncertainty in Human-AI Relationships
AI总结：
本研究访谈25名AI陪伴用户，识别出人机关系中本体论、结构性与规范性三类不确定性，拓展人际不确定性理论至人机交互，为HCI研究提供新视角并提出安全AI陪伴的设计启示。
摘要：
随着生成式AI聊天机器人变得更加个性化且情感响应能力更强，它们正日益充当陪伴者、朋友乃至浪漫伴侣。然而这类关系伴随着显著的不确定性：用户会质疑AI的身份与能动性、其情感回应的真实性，以及在系统更新、政策变更或平台关停时关系的稳定性。本研究对25名AI陪伴用户进行深度访谈，识别出三类不确定性：涉及AI本质与能动性的本体论不确定性、源于平台控制与系统不稳定性的结构性不确定性，以及关乎人机亲密关系合法性与边界的规范性不确定性。这些不确定性由算法不透明、平台变更、社会污名等技术与社会因素塑造，常引发用户的沮丧、自我怀疑与痛苦。参与者通过信息搜寻、话题回避、预期调整及退出来应对这些不确定性。本研究将人际不确定性理论拓展至人机交互领域，为人机交互（HCI）研究作出贡献，其将AI陪伴中的不确定性概念化为一种具有潜在社会情感危害的社会技术现象。我们探讨了通过情境透明性、用户控制权、更新通知及关系保障措施来设计更安全的AI陪伴的启示。
英文摘要：
As generative AI chatbots become more personalized and emotionally responsive, they increasingly serve as companions, friends, and romantic partners. Yet these relationships are accompanied by significant uncertainty regarding AI's sentience, authenticity, and relational stability. Drawing on in-depth interviews with 25 users of AI companions, this study identifies three key forms of uncertainty in human-AI relationships: ontological uncertainty concerning the AI's nature and agency, structural uncertainty arising from platform control and system instability, and normative uncertainty regarding the legitimacy and boundaries of human-AI intimacy. Participants managed these uncertainties through information seeking, topic avoidance, expectation adjustment, and disengagement. This study extends interpersonal uncertainty theories to human-AI communication and contributes to HCI research by conceptualizing uncertainty as a socio-technical and relational phenomenon with socio-emotional implications. We discuss implications for designing safer AI companionship through contextual transparency, user control, update notice, and relational safeguards.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
