Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, ob ....Situational Assessment as a Marker of Cognitive Skill Decay. The aim of this study is to test how differences in exposure to complex tasks change the capacity for situational assessment. Amongst drivers, pilots and electricity controllers, the capacity to assess and respond effectively to changes in the operational environment are critical in sustaining performance and ensuring the safety and security of the public. Establishing the nature of this relationship will enable, for the first time, objective measures of cognitive skill decay. In evaluating cognitive skill decay more accurately, we will provide a cost-effective, easily administered tool, enabling practitioners to identify and address areas of development and providing data to anticipate when cognitive skill decay is most likely to occur.Read moreRead less
Practical multi-receiver passive radar with low-cost synchronisation. This project aims to address the current challenges of developing practical multi-receiver passive radar systems, through the development of advanced receiver synchronisation techniques, which do not require the deployment of costly infrastructure. The project will develop novel algorithms and techniques that enable synchronous combining of data from multiple radars, allowing for the detection of smaller targets and significan ....Practical multi-receiver passive radar with low-cost synchronisation. This project aims to address the current challenges of developing practical multi-receiver passive radar systems, through the development of advanced receiver synchronisation techniques, which do not require the deployment of costly infrastructure. The project will develop novel algorithms and techniques that enable synchronous combining of data from multiple radars, allowing for the detection of smaller targets and significantly extending the radar coverage zone. The expected outcomes of this project include improved performance of passive radar systems and the advancement of radar technology. The benefits of this project include new applications in areas such as traffic monitoring, drone detection and national security.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
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