Biggs Adam T, Jensen Andrew E, Kelly Karen R
Medical Department, Naval Special Warfare Command, San Diego, CA, United States.
Leidos, Inc., San Diego, CA, United States.
Front Sports Act Living. 2024 Aug 29;6:1444655. doi: 10.3389/fspor.2024.1444655. eCollection 2024.
Shooting simulations provide an excellent opportunity to train use-of-force decisions in controlled environments. Recently, military and law enforcement organizations have expressed a growing desire to integrate physiological measurement into simulations for training and feedback purposes. Although participants can easily wear physiological monitors in these scenarios, direct implementation into training may not be simple. Theoretical problems exist in the ultra-short heart rate variability windows associated with use-of-force training, and practical problems emerge as existing scenario libraries at training organizations were not designed for physiological monitoring.
The current study explored the challenges and possibilities associated with direct implementation of physiological monitoring into an existing library of firearms training scenarios. Participants completed scenarios in a shooting simulator using existing military training scenarios while wearing a device to monitor their heart rate.
The results revealed lower heart rate variability (approximately 6%) occurred in scenarios where participants did not have to fire weapons, indicating that don't-shoot scenarios may actually impose more cognitive stress on shooters. Additional evidence further demonstrated how both behavioral and physiological factors could be used concomitantly to predict unintentionally firing on non-hostile actors. However, behavioral measures were more predictive (e.g., = .221) than physiological measures (e.g., = -.132) when the latter metrics were limited to specific scenarios. Qualitative results suggest that simply applying physiological monitoring to existing shooting simulations may not yield optimal results because it would be difficult to directly integrate physiological measurement in a meaningful way without re-designing some elements of the simulations, the training procedure, or both.
Future use-of-force shooting simulations should consider designing novel scenarios around the physiological measurement rather than directly implementing physiological assessments into existing libraries of scenarios.
射击模拟为在可控环境中训练使用武力决策提供了绝佳机会。近来,军事和执法组织越来越希望将生理测量纳入模拟训练及反馈环节。尽管在这些场景中参与者可轻松佩戴生理监测设备,但直接应用于训练可能并非易事。与使用武力训练相关的超短心率变异性窗口存在理论问题,而且由于训练机构现有的场景库并非为生理监测设计,还出现了实际问题。
本研究探讨了将生理监测直接应用于现有枪支训练场景库所面临的挑战与可能性。参与者在射击模拟器中使用现有的军事训练场景,同时佩戴监测心率的设备完成场景演练。
结果显示,在参与者无需开枪的场景中,心率变异性较低(约6%),这表明不开枪场景实际上可能给射击者带来更大的认知压力。更多证据进一步证明了行为和生理因素如何能同时用于预测对非敌对人员意外开枪的情况。然而,当后者的指标仅限于特定场景时,行为测量比生理测量更具预测性(例如相关系数为0.221)(生理测量相关系数为-0.132)。定性结果表明,简单地将生理监测应用于现有的射击模拟可能无法产生最佳效果,因为如果不重新设计模拟的某些元素、训练程序或两者,就很难以有意义的方式直接整合生理测量。
未来的使用武力射击模拟应考虑围绕生理测量设计新的场景,而不是将生理评估直接应用于现有的场景库。