This study explores the application of Virtual Reality (VR) to industrial safety training by adapting immersive design principles from cultural heritage education. The SAMPAI simulator, developed for the IPLOM refinery in Busalla (Italy), offers a controlled environment that enhances spatial awareness and procedural retention in high-risk scenarios. The project emphasizes user-centered interaction and anticipates future integration with Augmented Reality (AR) for real-time operational support. To ensure reliability, a rigorous validation protocol is proposed: initial testing with a small operator group will identify usability issues, followed by incremental expansion to strengthen system robustness and real-world relevance. By shifting training from abstract instruction to situated, experiential learning, SAMPAI bridges humanistic and technical domains. The result is a scalable, immersive framework that enhances readiness and supports safe, informed decision-making in complex industrial environments.

SAMPAI: A VR Framework for Industrial Safety Training Inspired by Cultural Heritage Education

Gianni Vercelli;Saverio Iacono;Luca Martini;Daniele Zolezzi
2025-01-01

Abstract

This study explores the application of Virtual Reality (VR) to industrial safety training by adapting immersive design principles from cultural heritage education. The SAMPAI simulator, developed for the IPLOM refinery in Busalla (Italy), offers a controlled environment that enhances spatial awareness and procedural retention in high-risk scenarios. The project emphasizes user-centered interaction and anticipates future integration with Augmented Reality (AR) for real-time operational support. To ensure reliability, a rigorous validation protocol is proposed: initial testing with a small operator group will identify usability issues, followed by incremental expansion to strengthen system robustness and real-world relevance. By shifting training from abstract instruction to situated, experiential learning, SAMPAI bridges humanistic and technical domains. The result is a scalable, immersive framework that enhances readiness and supports safe, informed decision-making in complex industrial environments.
2025
979-8-3315-1435-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1291058
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