Buga Alex, El-Shazly Xavier, Crabtree Christopher D, Stoner Justen T, Arce Lucas, Decker Drew D, Robinson Bradley T, Kackley Madison L, Sapper Teryn N, Anders John Paul V, Kraemer William J, Volek Jeff S
Department of Human Sciences, The Ohio State University, 305 Annie and John Glenn Ave, Columbus, OH, 43210, USA.
Sci Rep. 2025 Apr 25;15(1):14412. doi: 10.1038/s41598-025-98144-3.
Ballistic virtual reality (VR) can measure shooting performance reliably in trained and untrained subjects. The purpose of this investigation was to determine whether baseline traits such as age, habitual physical activity, and prior experience are correlated with VR decision-making and reaction time performance. Thirty participants completed a series of VR tests-Color Shapes and Steel Plates-while shooting a laser-guided and CO-recoil fitted rifle at digitally-projected targets. The first test measured decision-making as a function of shooting a series of correct shapes (squares/triangles/circles) and colors (green/red/blue), twice, in under 2 s. The second test measured left-to-right target transition shooting skills on six, equidistant metal plates placed 7 m away from the shooting line. Age was correlated with (1) lower decision-making scores during the Color Shapes array identification test and (2) slower target transition time, smaller throughput (time/accuracy) and Hit Factor [(correct hits-misses)/time] on the Steel Plates test. Weekly physical activity had an inverse effect. A multiple regression model revealed that age and weekly activity combined predicted the Hit Factor, the most relevant shooting proficiency metric. Tactical populations scored significantly better than non-tactical in the decision-making task. Age and physical activity may plausibly predict ballistic performance, whereas tactical experience positively modulates better decision-making.
弹道虚拟现实(VR)能够可靠地测量训练有素和未经训练的受试者的射击表现。本研究的目的是确定年龄、日常体育活动和先前经验等基线特征是否与VR决策和反应时间表现相关。30名参与者完成了一系列VR测试——颜色形状测试和钢板测试——同时使用配备激光制导和CO后坐力装置的步枪射击数字投影目标。第一个测试通过在2秒内两次射击一系列正确形状(正方形/三角形/圆形)和颜色(绿色/红色/蓝色)来测量决策能力。第二个测试测量在距离射击线7米处等距放置的六个金属板上从左到右的目标转换射击技能。年龄与以下因素相关:(1)在颜色形状阵列识别测试中较低的决策分数;(2)在钢板测试中较慢的目标转换时间、较小的吞吐量(时间/准确性)和命中因子[(正确命中数-未命中数)/时间]。每周的体育活动有相反的影响。多元回归模型显示,年龄和每周活动相结合可以预测命中因子,这是最相关的射击熟练度指标。在决策任务中,战术人员的得分明显高于非战术人员。年龄和体育活动可能合理地预测弹道表现,而战术经验则能积极调节更好的决策。