Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces

模拟人类如何适应安全关键工作场所的任务需求

• 批准号: DP200101842
• 负责人: Prof Shayne Loft
• 金额: $ 18.92万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-04 至 2024-01-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101842
• 关键词: Modelling; How; Humans; Adapt; Task

This project aims to explain how human operators make decisions in complex work environments that require multiple tasks to be completed under time pressure. This project expects to achieve a significant theoretical and practical advance by developing and testing a computational model of the psychological processes that allow operators to adapt to the types of workplace task demands that can increase human error and the risk of accidents. The expected outcome is a model that can explain operator decision-making and predict the conditions where operators are more likely to make delayed responses or errors. This should provide significant benefits by informing psychological theory and potentially reducing workplace incidents and accidents.

该项目旨在解释人类操作员如何在需要在时间压力下完成多项任务的复杂工作环境中做出决策。该项目期望通过开发和测试心理过程的计算模型来实现重大的理论和实践进展，该模型允许操作员适应可能增加人为错误和事故风险的工作场所任务要求类型。预期结果是一个模型，可以解释操作员的决策并预测操作员更有可能做出延迟响应或错误的条件。这应该通过为心理学理论提供信息并有可能减少工作场所事件和事故来提供显着的好处。