AI 中文总结
该研究针对心理健康从业者供给不足的问题，开发结合SIHP与SAT的多模态AR及LLM系统，经8天16人研究验证其可行性，可改善情绪并转变用户对AI对话工具的期望。
AI 中文摘要
全球对心理健康支持的需求日益增长，已远超合格从业者的供给，迫切需要可扩展的数字干预手段来提供有意义的情感连接。为此，我们提出一种新型多模态应用，将自发起幽默协议（SIHP）整合到自我依恋技术（SAT）框架中。该移动应用集成可定制的3D童年虚拟形象、增强现实（AR），以及能自动进行情绪镜像的大语言模型（LLM）驱动虚拟治疗师。一项为期8天、样本量N=16的用户研究表明，该系统具有可行性，且用户自我报告的情绪得到改善。结果显示，个性化虚拟形象与文本转语音输出可增强情感联结与共情感知；尽管情绪镜像能提升参与度，但其有效性高度依赖分类准确率与动画强度。此外，研究发现用户期望发生转变——从反应式聊天机器人转向主动式对话促进者。最后，我们总结了利用AI与AR在数字心理健康工具中培养具身共情的设计启示。
英文摘要
The growing global demand for mental health support increasingly exceeds the supply of qualified practitioners, creating an urgent need for scalable digital interventions that can deliver meaningful emotional connection. In response, we present a novel multimodal application that operationalises the Self-Initiated Humour Protocol (SIHP) within a Self-Attachment Technique (SAT) framework. Our mobile application integrates customisable 3D childhood avatars, augmented reality, and an LLM-driven virtual therapist capable of automated emotion mirroring. An eight-day user study (N=16) indicates the system's feasibility and improvements in self-reported mood. Results show that personalised avatars and text-to-speech output strengthen emotional bonding and perceived empathy. Although emotion mirroring boosts engagement, its effectiveness depends heavily on classification accuracy and animation intensity. Moreover, findings indicate a shift in user expectations--from reactive chatbots to proactive conversational facilitators. We conclude with design implications for leveraging AI and AR to cultivate embodied empathy in digital mental health tools.
