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A formal method for assessing the impact of task-based erroneous human behavior on system safety

机译:评估基于任务的错误人类行为对系统安全影响的正式方法

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Erroneous human behavior is often cited as a major factor to system failure. However, the complexity of the human-automation interaction can make it difficult for engineers to anticipate how erroneous human behavior can contribute to failures. In this work, we introduce a novel method for generating human errors based on the task-based taxonomy of erroneous human behavior. This allows erroneous acts to manifest as divergences from task models. We implement our method using the Enhanced Operator Function Model. We further show how the method can be used with formal system modeling and formal verification with model checking to prove whether or not potentially unanticipated erroneous behavior could contribute to system failures. We evaluate how our method scales and use it to evaluate three case studies: a radiation therapy machine, a pain medication pump, and an Apache helicopter. We discuss these results and explore options for future work.
机译:错误的人类行为通常被认为是系统失败的主要因素。然而,人机自动化交互的复杂性可以使工程师难以预测错误的人类行为如何促成失败。在这项工作中,我们介绍了一种基于基于任务的人类行为的基于任务的分类的人为错误的新方法。这允许错误的行为作为任务模型的分歧。我们使用增强型操作员函数模型来实现我们的方法。我们进一步展示了该方法如何与正式的系统建模和正式验证一起使用模型检查,以证明是否可能出现意外的错误行为可能有助于系统故障。我们评估我们的方法尺度和使用它来评估三种案例研究:放射治疗机,止痛药泵和Apache直升机。我们讨论这些结果并探索未来工作的选项。

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