以关系为中心的关怀：为心理健康护理中的人际连接进行相关性和负责任的设计
Relationship-Centered Care: Relatedness and Responsible Design for Human Connections in Mental-Health Care
中文总结 AI 辅助
本文探讨了数字治疗联盟在心理健康护理中的应用，提出以关系为中心的设计方法，旨在通过AI促进真实的人际关系，而非仅模拟连接。
中文摘要 AI 辅助
随着AI驱动的对话代理在心理健康护理中的应用增加，特别是那些提供认知行为疗法（CBT）的系统，研究兴趣正在增长。本文提出，当前的设计范式在优化患者与AI代理之间的联系时，存在潜在风险，可能破坏人类对相关性的基本需求。我们提议从设计模拟关系的AI工具转向设计支持关系的AI。通过将负责任的AI六领域框架通过自我决定理论（SDT）的视角进行翻译，我们提出了一种跨学科模型，专注于基本心理需求中的相关性。该模型为技术和其他临床社区提供了一套以关系为中心的设计指南和相关问题，旨在使AI不仅作为陪伴者，还作为加强患者整个关系生态系统的催化剂。
英文摘要
There has been a growing research interest in Digital Therapeutic Alliance (DTA) as the field of AI-powered conversational agents are being deployed in mental health care, particularly those delivering CBT (Cognitive Behaviour Therapy). Our proposition argues that the current design paradigm which seeks to optimize the bond between a patient in need of support and an AI agent contains a subtle but consequential trap: it risks producing an "appearance of connection" that unintentionally disrupts the fundamental human need for relatedness, which potentially displaces the authentic human relationships upon which long-term psychological recovery depends. We propose a reorientation from designing artificial intelligence tools that simulate relationships to designing AI that scaffolds them. To operationalize our argument, we propose an interdisciplinary model that translates the Responsible AI Six Sphere Framework through the lens of Self-Determination Theory (SDT), with a specific focus on the basic psychological need for relatedness. The resulting model offers the technical and other clinical communities a set of relationship-centered design guidelines and relevant provocations for building AI systems that function not just as companions, but as a catalyst for strengthening a patient's entire relational ecology; their connections with therapists, caregivers, family, and peers. In doing so, we discuss a model towards a more sustainable ecosystem of relationship-centered AI in mental health care.
