基于角色扮演的对话系统，帮助高校导师个性化支持学生。
RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System)
- 通过角色互换机制，让导师反思并优化辅导策略。
- 支持文本和虚拟人交互，确保指导内容符合学校规范。
- 可复用策略记忆，适合教育AI与智能助教研究者。
我们提出RPO-PDT：一种基于检索、以角色扮演为核心的对话系统，用于高等教育中的自适应学生支持。该系统具备三大特性：（1）利用结构化知识源提供机构定制化的个人发展导师（PDT）指导；（2）受显式人物设定、边界、保密性和安全政策约束；（3）采用逆向角色扮演循环，将未解决的互动从学生视角重演，生成并存储可复用的替代导师策略。RPO-PDT支持文本及Furhat驱动的具身交互，实现有依据、安全且自适应的学生对话支持。
原文摘要 · Abstract (English)
We present RPO-PDT: a retrieval-grounded, role-play-based dialogue system for adaptive student support in higher education. RPO-PDT is: (1) able to provide institution-specific Personal Development Tutor (PDT) guidance using structured knowledge sources; (2) constrained by explicit persona, boundary, confidentiality, and safety policies; and (3) designed around a reverse-roleplay loop where unresolved interactions are replayed from the student perspective, enabling alternative tutor strategies to be generated and stored as reusable strategy memory. RPO-PDT supports both text-based and Furhat-based embodied interaction for demonstrating grounded, safe, and adaptive student-support dialogue.
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