操作人员绩效的生理预测因素:精神努力的作用及其与任务绩效的联系
Sebastian Pütz1, Alexander Mertens1, Lewis L Chuang2
1RWTH Aachen University, Germany.
Human factors
|October 30, 2024
概括
瞳孔大小和心率变化 (HRV) 可以通过测量精神努力来预测操作员的表现. 然而,任务需求和任务时间可以影响这些生理指标,影响它们的预测准确性.
科学领域:
- 人与计算机的交互
- 认知工程 认知工程
- 心理生理学 心理生理学
背景情况:
- 像瞳孔大小和心率变化 (HRV) 这样的生理测量是操作员心理状态的潜在指标.
- 这些措施可以使操作员执行任务的持续,不引人注目的评估.
- 了解生理反应和精神努力之间的联系对于性能预测至关重要.
研究的目的:
- 为了研究瞳孔大小和HRV对操作员表现的预测值.
- 探索心理努力作为生理测量和任务结果之间的概念联系.
- 通过精神努力框架,在各个领域协调实证发现.
主要方法:
- 50名参与者完成了一项流程监控任务,要求和奖励条件各不相同.
- 响应时间被记录为主要性能指标.
- 收集了瞳孔大小,HRV,以及对精神疲劳,参与度和努力的主观评分.
主要成果:
- 增加的瞳孔尺寸和HRV与改善的任务性能有显著的相关性.
- 任务要求和任务时间调节了生理测量和绩效之间的关系.
- 瞳孔大小的发现与主观的努力评分保持一致,与HRV不同.
结论:
- 生理测量,特别是瞳孔大小,可以通过反映心理努力来预测操作员的表现.
- 这些措施的预测准确性受到影响所需努力的混因素的限制.
- 这项研究为基于生理监测的动态操作员辅助系统的开发提供了信息.
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