Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment meth ....Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment methodology and a new methodology for analysing accidents. This will provide organisations and researchers with a powerful framework for enhanced accident analysis and prevention activities. This will provide significant benefits, associated with reductions in accidents, injuries and fatalities.Read moreRead less
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
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.
Novel quantitative sizing of inaccessible and hard-to-inspect defects to address the challenges posed by innovations in airframe design. Modern unitised aircraft structures cannot be reliably inspected using traditional techniques. This project will develop new techniques to quantify defects required for this innovation in aircraft component design. This research will improve the through-life support of future metallic and composite aircraft structures and improve air safety.
Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area o ....Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area of remote sensing and to make Australia the leader in passive flying objects positioning and tracking. This should provide significant benefits, such as enabling new applications for future drone delivery systems or aerial taxi services, and benefiting the air transport industry, the defence industry, and bird conservation.Read moreRead less
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
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
Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie ....Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.Read moreRead less