Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.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
Designing work roles for crew operating multiple unmanned aircraft. The aim of this project is to identify how work roles should be designed for crew operating multiple Unmanned Aircraft (UA). Industry expects that the introduction of higher levels of automation in next-generation UA systems will reduce the operational costs associated with UA by enabling human crews to simultaneously manage multiple aircraft. The current project examines the safety and effectiveness of different types of work d ....Designing work roles for crew operating multiple unmanned aircraft. The aim of this project is to identify how work roles should be designed for crew operating multiple Unmanned Aircraft (UA). Industry expects that the introduction of higher levels of automation in next-generation UA systems will reduce the operational costs associated with UA by enabling human crews to simultaneously manage multiple aircraft. The current project examines the safety and effectiveness of different types of work designs for these systems. The primary outcome will be a set of recommendations regarding the design of work roles for the crew of next-generation UA systems. Expected benefits include improvements in safety and cost-effectiveness of next-generation UA systems.Read moreRead less
Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Optimising the balance between task automation and human manual control. This project aims to discover how best to design automation to maximise performance, while ensuring that operators maintain the task awareness required to manually control previously automated tasks. In environments such as defence and aviation, automating tasks can improve performance, but many accidents have occurred because human operators have not adequately regained manual control when automation has failed. This proje ....Optimising the balance between task automation and human manual control. This project aims to discover how best to design automation to maximise performance, while ensuring that operators maintain the task awareness required to manually control previously automated tasks. In environments such as defence and aviation, automating tasks can improve performance, but many accidents have occurred because human operators have not adequately regained manual control when automation has failed. This project proposes a series of studies using simulations of submarine track management and air traffic control in laboratory and field settings that draw upon psychology and human factors. The project is designed to provide the strategic research that is required to discover how best to adapt the automation currently used in industrial settings.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
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
Applying psychological science to prevent prospective memory error in simulations of air traffic control. The outcomes of this research will inform the design of interventions to prevent individuals from forgetting to perform actions in safety-critical work settings, strengthening Australia's reputation for extending basic science to applied domains.
How leaders integrate safety goals for employees to build adaptive safety capabilities in organisations. How can organisations maintain high levels of safety while adapting to constant technological, social, and economic change? This project will investigate how leaders align complex individual goals to develop adaptive safety capability: the capacity of organisations to successfully modify safety systems in the midst of change.
Cues as catalysts for skilled performance: identifying a mechanism to improve design, training, and selection in high technology control environments. This project will test a new model of expert diagnosis in high-technology environments such as power system control. By understanding skilled diagnosis, the project can inform selection, training, and the design of new interfaces to improve efficiency and prevent failures across a number of different environments in which skilled diagnosis is nece ....Cues as catalysts for skilled performance: identifying a mechanism to improve design, training, and selection in high technology control environments. This project will test a new model of expert diagnosis in high-technology environments such as power system control. By understanding skilled diagnosis, the project can inform selection, training, and the design of new interfaces to improve efficiency and prevent failures across a number of different environments in which skilled diagnosis is necessary.Read moreRead less