aiqbench analysis
RPO-PDT introduces a retrieval-grounded dialogue system that leverages a reverse-roleplay loop to generate reusable tutoring strategies from unresolved student interactions. By combining structured knowledge sources with explicit safety constraints, the system demonstrates adaptive support capabilities across both text-based and embodied interaction modalities. This approach offers a practical framework for scaling personalized educational guidance while maintaining strict adherence to institutional policies.
RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System)
arXiv:2606.09255v1 Announce Type: new Abstract: 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.
Abstract: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.
Robotics (cs.RO)
arXiv:2606.09255 [cs.RO]
(or arXiv:2606.09255v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2606.09255 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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