Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . 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 ....Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . 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.Read moreRead less
Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patter ....Difficulties of monitoring for rare events. This project aims to identify cognitive and neural processes involved in sustaining attention to moving displays under monitoring conditions.People are poor at monitoring for rare events: they tend to miss infrequent targets. This is a problem in automated systems for transport, rail and air traffic control. If a computer error occurs, the operator needs to intervene quickly. This project will develop a tool for studying monitoring and determine patterns of brain activity that predict a lapse of attention. The results should contribute to theories of vigilance and improve performance in real-world monitoring situations.Read moreRead less
Adapting Automation Transparency to Allow Accurate Use by Humans . The project will conduct the human factors research urgently required to discover how best to make automation in high-risk work settings more transparent and usable by humans. In safety-critical work contexts such as defence and aviation, automated decision aids improve human decision-making. Unfortunately however, catastrophic accidents have occurred because human operators have either not followed correct automated advice, or f ....Adapting Automation Transparency to Allow Accurate Use by Humans . The project will conduct the human factors research urgently required to discover how best to make automation in high-risk work settings more transparent and usable by humans. In safety-critical work contexts such as defence and aviation, automated decision aids improve human decision-making. Unfortunately however, catastrophic accidents have occurred because human operators have either not followed correct automated advice, or followed incorrect automated advice. A series of human factors studies using unmanned vehicle control, air traffic control, and submarine track management tasks (including testing experts in field settings) will discover how best to design transparent automation that can be safely and efficiently used by humans.Read moreRead less