TPR: A Training Procedure Representation to Augment XR Simulations with LLMs

Michael Guevarra; Christabel Wayllace; Srijita Das; Carrie Demmans Epp; Alan Tay

AAAI 2026technical0 citations

TPR: A Training Procedure Representation to Augment XR Simulations with LLMs

Michael Guevarra, Christabel Wayllace, Srijita Das, Carrie Demmans Epp, Alan Tay

Abstract

Extended reality (XR) is well suited to support the situated learning of technical procedures. At the same time, AI-driven intelligent tutoring systems (ITS) can complement XR by providing adaptive pedagogical support. Many domains would benefit from this combination, especially when trainers, equipment, or team members are limited. We present a domain-agnostic XR-based ITS that integrates a training procedure representation (TPR), XR simulation, and an LLM-driven instructor. We demonstrate the tutor

BibTeX

@inproceedings{aaai2026_tpratrainingproc,
  title = {TPR: A Training Procedure Representation to Augment XR Simulations with LLMs},
  author = {Michael Guevarra and Christabel Wayllace and Srijita Das and Carrie Demmans Epp and Alan Tay},
  booktitle = {AAAI 2026},
  year = {2026}
}