人在循环系统中的自动化比例模型和操作员的情况意识响应
1Department of Industrial and Systems Engineering, University of Louisville, Louisville, KY, USA.
Ergonomics
|December 29, 2025
概括
本研究引入了在人入循环系统中自动化比例 (AP) 和情境意识 (SA) 的新定量模型. 这些模型提供连续测量,以便更好地预测操作员的性能和工作量.
科学领域:
- 人与计算机的交互
- 认知系统工程 认知系统工程
- 自动化科学 自动化科学
背景情况:
- 现有的自动化水平模型是离散的和顺序的,限制了对操作员性能,工作量和情境意识 (SA) 的准确预测.
- 人与自动化交互的概念模型缺乏可靠的性能分析的定量精度.
研究的目的:
- 介绍增强的定量模型,用于确定系统自动化比例 (AP) 和人类循环系统中的SA.
- 完善AP的概念作为一个连续的测量,并引入一个概括的SA函数,考虑运营商的特点.
主要方法:
- 开发了系统自动化比例 (AP) 的连续测量方法,使用基于信息处理阶段的层次任务分析.
- 引入了包含运营商特定特征的通用情境意识 (SA) 功能.
- 通过案例研究验证了模型的实用性和可行性.
主要成果:
- 改进的模型提供了自动化比例 (AP) 的连续测量,改进了离散和顺序限制.
- 开发了一个通用的SA函数,考虑了个别操作员的特征.
- 经验发现支持了AP和运营商SA响应之间的拟议关系.
结论:
- 拟议的定量模型增强了自动化系统中操作人员性能,工作负载和SA的预测.
- 持续测量自动化比例 (AP) 和一般化的SA函数为人机交互研究提供了更强大的框架.
- 该研究验证了这些增强模型在现实场景中的实际应用和可行性.
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