Heart rate of fire: exploring direct implementation of physiological measurements in realistic shoot/don't-shoot simulations.

IF 2.3 Q2 SPORT SCIENCES
Frontiers in Sports and Active Living Pub Date : 2024-08-29 eCollection Date: 2024-01-01 DOI:10.3389/fspor.2024.1444655
Adam T Biggs, Andrew E Jensen, Karen R Kelly
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引用次数: 0

Abstract

Introduction: 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.

Methods: 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.

Results: 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., β = .221) than physiological measures (e.g., β = -.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.

Discussion: 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.

射击心率:探索在逼真的射击/不射击模拟中直接实施生理测量。
导言:射击模拟是在可控环境中训练使用武力决策的绝佳机会。最近,军事和执法机构表示越来越希望将生理测量纳入模拟训练和反馈目的。尽管在这些场景中,参与者可以很容易地佩戴生理监测器,但将其直接应用到训练中可能并不简单。与使用武力训练相关的超短心率变异窗口存在理论问题,而培训机构现有的场景库并非为生理监测而设计,因此出现了实际问题:本研究探讨了在现有枪械训练场景库中直接实施生理监测所面临的挑战和可能性。参与者佩戴心率监测设备,在射击模拟器中完成使用现有军事训练场景的场景:结果表明,在参与者无需开枪的场景中,心率变异性较低(约为 6%),这表明 "不开枪 "场景实际上可能会给射手带来更大的认知压力。其他证据进一步证明,行为和生理因素可同时用于预测对非敌对行动者的无意射击。然而,当生理指标仅限于特定场景时,行为指标的预测性(如 β = .221)高于生理指标(如 β = -.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不会产生最佳结果,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:讨论:未来的武力使用射击模拟应考虑围绕生理测量设计新的场景,而不是直接将生理评估应用到现有的场景库中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
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