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PresentationsDevelopment of an XR Training Simulator for the Professional Education of Law Enforcement PersonnelRED SOFT LLC, Russia, 141983, Moscow Region, Dubna, Programmists Street, 4, bld. 2 The digital transformation of professional education increases the demand for technologies that enable safe, scalable, and realistic skill development. Extended Reality (XR) environments provide an opportunity to simulate complex professional tasks and ensure reproducible training conditions that are difficult or costly to achieve in real-world settings.
This work presents the development of an XR training simulator designed for the education and skill acquisition of law enforcement personnel. The objective of the study is to create an integrated platform combining a virtual environment, a hardware weapon-shaped controller, and a feedback system capable of delivering realistic training tasks. The architecture includes a Unity-based virtual environment with a physically grounded shooting model, a Raspberry Pi–based controller transmitting commands via HTTP protocol, and vibrotactile feedback modules for immersive interaction.
To evaluate the effectiveness of the proposed system, a set of quantitative performance metrics has been developed, including accuracy, reaction time, error frequency, and skill acquisition dynamics. A pilot experiment demonstrated improved reproducibility of trainee actions and increased task accuracy compared to traditional training methods. The XR simulator provides objective logging of user performance and allows the adaptation of training scenarios to individual learning trajectories.
The results confirm the potential of XR technologies as an efficient tool for large-scale professional education. The developed simulator can be integrated into modern digital training infrastructures and serve as a foundation for next-generation virtual laboratories.
References. 1. Petrov V.D. Immersive technologies in professional education. Moscow: Nauka, 2020. 214 p. 2. Ivanov S.I., Sidorov S.S. Modeling operator activity in virtual environments // Computer Research and Modeling, 2023, No. 4, pp. 12–23.
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