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A framework for managing system disturbances and insights from air traffic management.

机译:一个管理系统干扰和空中交通管理洞察力的框架。

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摘要

System disturbances are likely to be a key factor affecting the acceptance and safety of future automation. Since hardware and software are rarely totally reliable, humans are always required in socio-technical command and control environments such as air traffic management (ATM). Unfortunately, human-automation interaction is known to be problematic, particularly when the human assumes a monitoring or back-up role. Hence an understanding of how humans manage system disturbances is required, together with a method of looking at the problem for new systems. In this paper we outline a contextual framework of the process by which people recover from system disturbances, together with literature data and findings from 31 interviews with ATM personnel. The framework describes the context and causes of a problem, the problem itself, the effect and exposure, the recovery process, and the outcome. The framework, together with the research findings and operational experience, is also the basis for a performanceprediction tool called the Recovery from Automation Failure Tool (RAFT).
机译:系统干扰很可能是影响未来自动化的接受度和安全性的关键因素。由于硬件和软件很少完全可靠,因此在社会技术指挥和控制环境(例如空中交通管理(ATM))中始终需要人员。不幸的是,众所周知,人与人之间的交互是有问题的,特别是当人扮演监视或备份角色时。因此,需要对人类如何处理系统干扰的理解以及寻找新系统问题的方法。在本文中,我们概述了人们从系统干扰中恢复的过程的上下文框架,以及文献数据和31次与ATM人员进行的采访中得到的发现。该框架描述了问题的背景和原因,问题本身,影响和暴露,恢复过程以及结果。该框架以及研究结果和操作经验,也是性能预测工具(称为“从自动化故障工具恢复”(RAFT))的基础。

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