多任务作为模拟无人机任务绩效的预测因素:超越认知能力的增量有效性
John D Trent1, Laura G Barron2
1Air Force Personnel Center, Randolph AFB, Texas.
概括
多任务评估有效地预测了军事学员模拟无人机 (UAV) 任务表现. 这些模拟提供了超越传统认知能力测试的宝贵见解,用于选择和训练.
科学领域:
- 心理学 心理学 心理学
- 人类因素 人类因素
- 军事科学 军事科学
背景情况:
- 模拟被广泛用于员工选择和培训.
- 在模拟中评估的属性往往不被很好地理解.
- 无人驾驶飞行器 (UAV) 操作需要复杂的多任务技能.
研究的目的:
- 为了评估模拟无人机任务执行的多任务评估的预测有效性.
- 为了确定多任务评估是否比传统的认知测试提供增量有效性.
- 探索多任务评估在军事学员选拔和培训中的有用性.
主要方法:
- 进行了多任务评估,涉及同时记忆,数学,视觉监控和听力任务.
- 模拟无人机任务绩效的评估是基于任务规划",丢失环节"召回和资源管理.
- 一个由368名军事学员组成的样本参与了这项研究.
主要成果:
- 多任务评估得分与静态的飞行前规划任务的相关性很弱.
- 多任务评估得分与整体模拟无人机任务绩效有很强的关系.
- 多任务评估证明了超越传统认知能力措施的显著增量有效性.
结论:
- 多任务评估是模拟环境中复杂操作性能的有价值的预测指标.
- 这些评估为军事选择和分类提供了增量有效性.
- 未来的研究应该进一步完善操作上下文的多任务评估.
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