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Validation of a three-dimensional visual target acquisition system for evaluating the performance effects of head supported mass

机译:用于评估头部支持质量的性能效应的三维视觉目标采集系统的验证

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摘要

Night vision goggles (NVGs) enable aircrew to complete missions in the cover of night, but dramatically increase and alter the distribution of mass borne by the head. Our novel approach to visual target acquisition, based on Fitts' Law, was used to assess differences across three different performance metrics between low (L) and high (H) head supported mass (HSM) conditions. Fifteen healthy male participants completed time-optimal and reciprocal visual target acquisitions between target pairs arranged in four different movement trajectories. A significant interaction effect was found and subsequent post hoc analysis revealed that participants required more time to acquire the 20 mm target in the H-HSM condition. In the H-HSM condition participants had a higher error index during target acquisition and required more time to move off the target. Our approach demonstrates great promise in distinguishing performance decrements associated with the use of helmeted systems that include NVGs.
机译:夜视护目镜(NVGS)能够在夜间封面中完成任务,但大幅增加并改变头部的分布。 我们基于FITTS法律的视觉目标习得的新方法用于评估低(L)和高(H)头支持的质量(HSM)条件之间的三种不同性能度量的差异。 十五个健康的男性参与者完成了在四个不同运动轨迹中排列的目标对之间的最佳和互易视觉目标的采集。 发现了显着的相互作用效果,随后的后HOC分析显示参与者需要更多时间来获得H-HSM条件下的20mM靶标。 在H-H-H-HSM条件下参与者在目标采集期间具有更高的错误索引,并要求更多时间离开目标。 我们的方法在区分与使用包括NVG的头盔系统相关的绩效减少方面表现出很大的希望。

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