A User-Centric AI-Enhanced Approach to AR frameworks in Manufacturing

Augmented Reality (AR) technology has been proven a valuable tool for establishing seamless human-machine interaction systems in manufacturing. Considering the constraints and best practices of past implementations, this paper provides a set of guidelines for designing user-centric AR applications, focusing on intuitive human-machine interaction. The proposed methodology includes smart interfaces, intelligent interaction techniques, and AI-based large language models (LLMs) for natural language communication. Additionally, AI-driven vision systems are proposed for identifying user actions and providing feedback automatically to the machine system. The guidelines apply to all AR frameworks, aiming to reduce operational effort while enhancing user experience.