Development of a computational model for the prediction of mental workload in air traffic control

开发用于预测空中交通管制脑力负荷的计算模型

• 批准号: LP0453978
• 负责人: Prof Andrew Neal
• 金额: $ 47.08万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-01-01 至 2008-01-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0453978
• 关键词: Development; computational; model; prediction; mental

The aim of the project is to develop a computational model that can measure the flow of traffic through an air sector, and predict the level of workload that an air traffic controller will experience, as well as the overall risk of breakdowns in separation between aircaft. The purpose is to develop a tool that can be used for the purposes of risk analysis and scenario planning. This is a multidisciplinary project, integrating recent models of human memory and reasoning, with formal methods for the analysis of human-computer systems. The project will advance our understanding of human memory and reasoning in complex real-world systems.

该项目的目的是开发一个计算模型，可以测量通过空中部门的交通流量，并预测空中交通管制员将经历的工作量水平，以及飞机之间分离故障的总体风险。目的是开发一种可用于风险分析和情景规划的工具。这是一个多学科的项目，将人类记忆和推理的最新模型与人机系统分析的正式方法相结合。该项目将促进我们对人类记忆和复杂现实世界系统中推理的理解。