chaplains critique AI聊天机器人在日常情感支持中的不足，提出更贴近人性关怀的设计方向。
Chaplains' Reflections on the Design and Usage of AI for Conversational Care
- 让18位牧师参与设计对话型AI，从宗教辅导视角审视其适用性。
- 多数牧师认为现有AI难以真正理解并回应普通人的情绪需求。
- 提出倾听、连接、承载、渴望四维度，指导非临床场景下的关怀技术设计。
尽管负责任的AI需要领域知识，当前对话AI研究主要依赖以诊断和干预为核心的临床经验。然而，大多数日常情绪支持发生在非临床情境中，需不同的对话方式。我们邀请18位牧师参与构建AI聊天机器人。部分牧师对聊天机器人持谨慎乐观态度，但多数认为其在支持日常福祉方面存在局限。分析揭示了牧师对其牧灵职责的认知，以及聊天机器人在倾听、连接、承载与渴望四个维度上的不足。这些主题呼应了‘契合’（attunement）这一关系性视角，被近年视为理解关怀类技术所提供微妙体验的关键。该视角为面向非临床情境下福祉支持的聊天机器人设计提供了指导。
原文摘要 · Abstract (English)
Despite growing recognition that responsible AI requires domain knowledge, current work on conversational AI primarily draws on clinical expertise that prioritises diagnosis and intervention. However, much of everyday emotional support needs occur in non-clinical contexts, and therefore requires different conversational approaches. We examine how chaplains, who guide individuals through personal crises, grief, and reflection, perceive and engage with conversational AI. We recruited eighteen chaplains to build AI chatbots. While some chaplains viewed chatbots with cautious optimism, the majority expressed limitations of chatbots' ability to support everyday well-being. Our analysis reveals how chaplains perceive their pastoral care duties and areas where AI chatbots fall short, along the themes of Listening, Connecting, Carrying, and Wanting. These themes resonate with the idea of attunement, recently highlighted as a relational lens for understanding the delicate experiences care technologies provide. This perspective informs chatbot design aimed at supporting well-being in non-clinical contexts.
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