伴侣关系中对话智能体的设计框架：一项系统综述
Design Framework for Conversational Agent in Couple relationships: A Systematic Review
AI总结：
本文遵循PRISMA对十二项实证研究进行系统综述，围绕AI交互、关系框架与技术局限提出伴侣对话智能体的八项设计考量及整合框架。
AI中文摘要：
对话智能体（CAs）的发展已展现出通过对话支持心理健康的强大潜力。尽管许多研究聚焦于用于个体心理护理的CAs，但针对面临关系或情感挑战的伴侣所设计智能体的研究仍然有限。本研究旨在确定CAs的设计考量，以处理伴侣的关系情境并支持其幸福感。研究遵循PRISMA指南，在七个数据库中进行了系统综述：CINAHL、Embase、PubMed、PsycINFO、Scopus、Web of Science和ACM Digital Library。研究筛选同行评审的实证研究，去除重复项并应用选择标准，最终纳入十二项研究进行分析。主题分析围绕三个维度展开：AI交互设计、关系框架和技术局限。研究得出三个关键主题：（1）对关系专家角色的需求；（2）利用最先进AI实现关系特异性和情感能力的技术方向；（3）从以内容为中心向以关系为中心的设计转变。基于这些洞见，研究提出面向伴侣的CAs的八项设计考量：（1）智能体角色；（2）个体模式；（3）并发模式；（4）联合模式；（5）伦理；（6）数据与隐私；（7）交互模式；（8）安全机制。这些原则指导CAs成为关系调解者，能够维持多重同盟、尊重文化和伦理边界，并确保伴侣之间的公平与情感安全。最终，本综述提出一个将关系理论与先进AI技术相结合的设计框架，以为未来开发用于伴侣心理健康干预的CAs提供参考。
英文摘要：
The development of conversational agents (CAs) has shown strong potential in supporting mental health through dialogue. While many studies focus on CAs for individual psychological care, research on agents designed for couples facing relational or emotional challenges remains limited. This study aims to identify design considerations for CAs that address the relational context of couples and support their well-being. Following PRISMA guidelines, a systematic review was conducted across seven databases: CINAHL, Embase, PubMed, PsycINFO, Scopus, Web of Science, and the ACM Digital Library. Peer-reviewed empirical studies were screened, duplicates removed, and selection criteria applied, resulting in twelve studies for analysis. Thematic analysis was conducted across three dimensions: AI interaction design, relational framing, and technical limitations. Three key themes emerged: (1) the need for a relational expert persona, (2) technological directions leveraging state-of-the-art AI for relational specificity and emotional competence, and (3) a shift from content-centered to relationship-centered design. Based on these insights, eight design considerations are proposed for couple-oriented CAs: (1) agent persona, (2) individual mode, (3) concurrent mode, (4) conjoint mode, (5) ethics, (6) data and privacy, (7) interaction pattern, and (8) safety mechanism. These principles guide CAs as relational mediators capable of maintaining multiple alliances, respecting cultural and ethical boundaries, and ensuring fairness and emotional safety between partners. Ultimately, this review introduces a design framework that integrates relational theory with advanced AI technologies to inform future development of CAs for couple-based mental health interventions.
