AI 中文总结
本研究提出一种将诗意传统转化为文化根基型情感支持交互媒介的设计框架，开发了基于LLM的多模态多智能体系统Poemithy，实验表明该系统可有效改善情绪等指标，多模态呈现能提升用户共鸣与参与度。
AI 中文摘要
数字系统越来越多地承担情感支持的媒介作用，但它们的交互往往缺乏文化针对性。为此，本研究探讨如何将诗意传统转化为具有文化根基的交互媒介，以及生成式AI如何支持这类交互。研究成果提出了一种交互设计框架，将基于文学的分阶段支持与特定文化的诗意美学转化为数字系统设计的指导准则。Poemithy将该框架实例化为一个多模态、基于大语言模型（LLM）的多智能体系统，用于通过中国古典诗歌引导反思。研究开展了一项包含50名被试的控制组间实验，对比仅文本版本与多模态版本。两种条件下，被试在单次实验中均表现出中等到大幅的情绪、焦虑及情绪调节能力提升；组间测试未发现这些变化存在显著差异。在实验后的次要用户体验指标中，多模态条件在感知契合度、感知任务完成度及参与度上的表现更优；可用性与享乐质量在描述性统计上更高，而工作负荷未检测到显著差异。在仅实验后的文化相关评分中，两种条件在文化认同、诗歌参与与传播意愿、感知文化丰富度上均呈现描述性的积极表现。综上，研究结果表明，具有文化根基的内容与结构化指导应成为系统设计的核心，而多模态呈现可增强共鸣与参与度。更广泛而言，本研究展示了生成式AI如何在具有文化根基的情感支持交互中，介导人们与诗意遗产的互动。
英文摘要
Digital systems increasingly mediate emotional support, yet their interactions often remain culturally generic. Accordingly, we examine how a poetic tradition can be operationalized as a culturally grounded interactive medium and how generative AI can support such engagement. The resulting interaction design framework translates staged literature-based support and tradition-specific poetic aesthetics into guidance for digital system design. Poemithy instantiates the framework as a multimodal, LLM-enabled multi-agent system for guided reflection through classical Chinese poetry. A controlled between-subjects study with 50 participants compared text-only and multimodal versions. Both conditions showed medium-to-large within-session improvements in affect, anxiety, and emotion regulation, while between-condition tests detected no differences in these changes. Among secondary post-session user-experience measures, the clearest observed differences favored multimodality in perceived attunement, perceived task success, and engagement; usability and hedonic quality were descriptively higher, while workload did not differ detectably. Post-only cultural ratings were descriptively favorable in both conditions for cultural identification, poetry-engagement and dissemination intentions, and perceived cultural enrichment. Together, the findings suggest that culturally grounded content and structured guidance should anchor system design, while multimodal presentation may strengthen resonance and engagement. More broadly, the work shows how generative AI can mediate engagement with poetic heritage in culturally grounded emotional-support interactions.
CommentsWithdrawn by the authors because ethics-approval coverage could not be fully verified from the available study records. These issues require re-evaluation before the findings can be considered reliable. This version should not be cited
