模拟新手执法人员与车载技术的互动
Junho Park1, David Wozniak1, Maryam Zahabi1
1Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Applied ergonomics
|October 26, 2023
概括
针对新手执法人员的新认知性能模型 (N-CPM) 准确地预测了使用车载技术的性能和内存负载. 这种模型可以增强培训和技术设计,以减少新手军官的工作量和分心.
科学领域:
- 人类因素 人类因素
- 认知心理学 认知心理学
- 执法技术 执法技术 执法技术
背景情况:
- 现有的认知性能模型主要集中在专家性能上.
- 新手的认知,感知和运动行为与专家有很大差异,但往往不充分建模.
- 需要专门的模型来理解复杂的操作环境中的初学者性能.
研究的目的:
- 专门为新手执法人员 (N-CPM) 开发一种认知绩效模型.
- 模拟新手军官与车载技术互动的性能和记忆负载.
- 将N-CPM与现实世界观测数据进行验证.
主要方法:
- 新手认知表现模型 (N-CPM) 的开发.
- 通过一项涉及10名新手执法官员 (nLEOs) 的随行研究进行验证.
- 将N-CPM预测与观察到的绩效数据和基准模型进行比较.
主要成果:
- 对于新手军官的观察数据,N-CPM表现出强烈的同意.
- 与N-CPM和观察数据相比,基准模型显示了显著的偏差.
- 该研究证实了新手军官使用车载系统的独特认知需求.
结论:
- 开发的N-CPM有效地模拟了新手执法人员的表现和认知负载.
- 该模型为改进车载技术设计和新手军官培训计划提供了基础.
- 减少新手军官的工作量和驾驶分心,可以提高巡逻任务的有效性.
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