Personalised, Context-Aware XR Training Applications Driven by Large Language Models

Abstract

The use of Extended Reality (XR) technologies for industrial workers’ training provides immersive and cost-effective learning experiences that improve safety, efficiency, and productivity in the workplace. Nevertheless, most XR-based training applications are based on static and inflexible content, which limits their customisation and personalisation potential. This article introduces a novel approach to developing and deploying XR applications for training industrial workers. The approach leverages Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) to produce customisable, context-aware, and personalised content that significantly enhances the workers’ training experience.

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