Envisioning Better Police Performance with Selective-Fidelity Training: Lessons From Simulations and Virtual Reality in Aviation and Medicine
Abstract
This thesis explores how technology-based, selective-fidelity training methods found in aviation and medicine can improve law enforcement training and performance. Professionals in aviation, medicine, and law enforcement all encounter high-risk and unpredictable situations. Within aviation and medicine, research has shown that simulation and virtual reality (VR) can improve performance at all levels - from beginner to advanced. This thesis reviews Bloom's taxonomy, state- and context-dependent learning, and law enforcement training practices; assesses the efficacy of selective-training methods across the aviation and medical fields; and reviews real-world applications of simulation and VR. This research determined that certain technology-based, selective-fidelity training methods found in aviation and medicine may improve law enforcement training and performance. To best leverage simulation and VR, the law enforcement community should match the device's fidelity (high or low) to the underlying learning objective; utilize both high- and low-fidelity training methods confidently; and mimic the medical sector's standard, policy, and procedure development for technology-based, selective-fidelity training methods. Also, high-fidelity training methods may improve performance in novel situations. Finally, law enforcement trainers should use certain devices to mitigate stress, treat post-traumatic stress disorder, teach checklist material, and promote confidence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2022
- Accession Number
- AD1200502
Entities
People
- Thaddeus Espy
Organizations
- Naval Postgraduate School