Mid-Career Industry Fellowships - Grant ID: IM230100702
Funder
Australian Research Council
Funding Amount
$859,472.00
Summary
Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australia ....Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australian shift working organisations. The project will close the gap in resources currently available to support sleep in shift workers and will reduce the significant burdens of shift work for alertness, productivity and safety.Read moreRead less
Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly d ....Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly due to a re-shaping and narrowing of the target template. These are both ground-breaking discoveries that have not been described before. Work on this project promises to lead to important theoretical breakthroughs, resolve current discrepancies in the literature and advance methods of Cognitive Psychology and Neuroscience.Read moreRead less
Impact of cognitive task demands on the accumulation/dissipation of fatigue. Fatigue-related errors and accidents that occur at work cost the Australian economy $5.8 billion every year. Regulators and employers use mathematical models in special software to assess the fatigue risk associated with work schedules based on prior wake, time of day and recent sleep. Incredibly though, these models assume that the demands of your job have no influence on your level of fatigue, i.e., they do not differ ....Impact of cognitive task demands on the accumulation/dissipation of fatigue. Fatigue-related errors and accidents that occur at work cost the Australian economy $5.8 billion every year. Regulators and employers use mathematical models in special software to assess the fatigue risk associated with work schedules based on prior wake, time of day and recent sleep. Incredibly though, these models assume that the demands of your job have no influence on your level of fatigue, i.e., they do not differentiate between sitting quietly at work – and controlling air traffic, performing surgery or driving a truck. This project will improve the models by assessing how mental task demands affect fatigue. Models that are better able to predict fatigue will improve the health, safety and productivity of the Australian workforce.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100171
Funder
Australian Research Council
Funding Amount
$438,560.00
Summary
Integrated models of learning and decision making in complex tasks. How do people learn to make decisions in complex work systems when assisted by automation? This project will develop computational models of human learning and decision making that explain and predict complex decisions relevant to industries such as aviation and defence. It will examine how humans learn to use automated advice, how learning affects remembering to perform planned (deferred) actions, and factors that pose a risk t ....Integrated models of learning and decision making in complex tasks. How do people learn to make decisions in complex work systems when assisted by automation? This project will develop computational models of human learning and decision making that explain and predict complex decisions relevant to industries such as aviation and defence. It will examine how humans learn to use automated advice, how learning affects remembering to perform planned (deferred) actions, and factors that pose a risk to learning and adaptation. The expected outcome is a significant theoretical advance in human factors and cognitive psychology, and a tool for informing work design (e.g., computer interface, task allocation) and training, with the potential to reduce human error in safety-critical workplaces.Read moreRead less