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职能分配的边界在哪里? 自动化程度对注意力分配和在不同可靠性下的人类表现的影响

Shuo Wang^1,2, Yu Liu^1,2, Xuan Wang^1,2

¹Shaanxi Normal University, China.

|December 25, 2024

概括

这项研究探讨了自动化可靠性如何影响功能分配边界. 结果表明,边界是在行动选择和行动实施之间,但可靠性是可靠性的.

科学领域:

人与计算机的交互
自动化和控制系统自动化和控制系统
认知工程认知工程

背景情况:

伐木者效应认为,自动化程度的提高 (DOA) 提高了常规性能,但可能不会降低故障性能,直到高DOA值 (功能分配边界).
注意分配是一个关键机制,通过它,DOA和可靠性都能影响故障性能.
调查可靠性和DOA之间的相互作用对于理解功能分配边界至关重要.

研究的目的:

为了确定自动化可靠性对函数分配边界的影响.
检查自动化程度 (DOA) 与性能和注意力的可靠性之间的相互作用.
确定故障性能受到自动化水平影响的具体点.

主要方法:

参与者参与了三个多任务 (MATB) 任务,包括系统监控.
系统监控采用了四个自动化级别,自动化程度 (DOA) 从信息获取 (IAc) 到行动实施 (AI) 增加.
自动化可靠性被操纵在三个不同的水平 (87.50%,68.75%,56.25%).

主要成果:

与信息采集 (IAc) 或信息分析 (IAn) 相比,行动选择 (AS) 自动化导致对常规故障的响应更快.
行动实施 (AI) 自动化导致故障相关故障的纠正较少.
使用人工智能自动化的参与者对系统监控任务的注意力分配减少.

结论:

功能分配边界似乎位于动作选择 (AS) 和动作执行 (AI) 自动化之间.
目前的发现没有提供足够的证据来得出这样的结论:可靠性会对功能分配边界产生重大影响.
获得的洞察力可以为在复杂的操作环境中设计更有效的自动化系统提供信息.

关键词:

自动化支持自动化支持失效表现失效表现的表现固定数计数固定数计数固定数计数常规的表现表现是常规的

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