美国空军学院飞行员选拔方法与技术现代化

Gabe Salinger, Luca Pisani, Hannah Silvestro, Nathan Herdener, Ciara M. Sibley, Joseph T. Coyne, Sabrina Drollinger, Kenneth M. King, Chad C. Tossell
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引用次数: 0

摘要

美国军方正面临飞行员短缺和部队缺乏多样性的问题。因此,从最广泛的人才中选拔有能力的飞行员是美国空军(USAF)的优先事项。作为这一目标的一部分,我们的项目旨在使基本航空技能测试(TBAS)现代化,以更好地预测飞行员的表现,减少不必要的人口分组差异。TBAS是美国空军评估个人成功完成飞行员培训潜力的三种主要方法之一。为此开发了一个原型系统并进行了初步实验。在获得需求、进行系统分析和回顾以前的研究之后,我们设计了未来飞行飞行员选择和评估(PSAFF)系统,作为对具有现代化TBAS潜力的新测试、方法和技术进行实验的能力。我们的概念验证实验考察了在PSAFF中执行空间任务的两种类型的控制,考虑了性别、游戏、可用性和面部效度。我们没有发现这些控制组的性能差异。然而,个体之间的差异是基于性能得出的,结果表明这两种设备有望取代过时的设备,并鼓励未来的工作探索和比较更大样本量的输入设备。该分析将使未来的设计迭代和研究成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modernizing Pilot Selection Methods & Technologies at the United States Air Force Academy
The United States military is suffering from a pilot shortage and lack of diversity in its corps. Thus, selecting capable pilots from the widest range of talent is a priority for the United States Air Force (USAF). As part of this goal, our project aimed to modernize the Test of Basic Aviation Skills (TBAS) - one of the USAF's three primary methods of assessing an individual's potential for successfully completing pilot training - in order to better predict pilot performance and reduce unnecessary demographic subgroup differences. A prototype system and initial experiment was developed to this end. After obtaining requirements, conducting a system analysis, and a review of previous research, we designed the Pilot Selection and Assessment for Future Flight (PSAFF) system as a capability to conduct experiments on novel tests, methods, and technologies that have potential in a modernized version of the TBAS. Our proof-of-concept experiment examined two types of controls to perform spatial tasks in PSAFF taking into account gender, gaming, usability, and face validity. We found no performance differences in these controls. However, variance between individuals was elicited based on performance and results show the two devices hold promise for replacing outdated equipment and encourages future work to explore and compare input devices with larger sample sizes. The analysis will enable future design iterations and studies.
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