Reducing aggression on our roads: testing a comprehensive model of aggressive driving. This project aims to increase our understanding of driver aggression, its causes and how it can be prevented. This will inform development of more effective educational and enforcement measures to reduce driver aggression and resultant road crashes, which have significant social and economic impacts on the Australian community.
Australian Laureate Fellowships - Grant ID: FL180100094
Funder
Australian Research Council
Funding Amount
$2,749,550.00
Summary
Responding to the challenge of identity change. This project aims to advance our understanding of factors that promote successful adjustment to collective-level change, which is imperative for well-being and the fabric of society. The psychological and financial cost of not understanding these dynamics is significant, and is at the forefront of concerns in organisational, educational, community and national contexts. This project will help elucidate the complexities of collective-level change an ....Responding to the challenge of identity change. This project aims to advance our understanding of factors that promote successful adjustment to collective-level change, which is imperative for well-being and the fabric of society. The psychological and financial cost of not understanding these dynamics is significant, and is at the forefront of concerns in organisational, educational, community and national contexts. This project will help elucidate the complexities of collective-level change and adjustment to such change, providing benefits to communities, organisations and policy makers. The project builds on The Social Identity Model of Identity Change (SIMIC), a theoretical approach which helps to understand how people might effectively cope with change; it forms the basis of an ambitious and integrated theoretical program of research that will examine SIMIC predictions in novel contexts.Read moreRead less
A honking horn can blind you: how sudden distractions redirect attention. This project aims to investigate the sudden offset of distraction and its effects. Distraction can have a devastating impact on our ability to pay attention. This project derives its approach to distraction from recent neurophysiological advances in understanding the Locus Coeruleus–Norepinephrine system. The project intends to establish the role of the Locus Coeruleus in sudden distraction and to examine how sudden distra ....A honking horn can blind you: how sudden distractions redirect attention. This project aims to investigate the sudden offset of distraction and its effects. Distraction can have a devastating impact on our ability to pay attention. This project derives its approach to distraction from recent neurophysiological advances in understanding the Locus Coeruleus–Norepinephrine system. The project intends to establish the role of the Locus Coeruleus in sudden distraction and to examine how sudden distraction interacts with both environmental and internal factors. The outcomes of the research may lead to improvements in technology to enhance road safety and reduce the social and physical costs of distraction-related accidents. This should provide significant benefits such as informing policies on distraction-while-driving to make Australia’s roads safer.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101449
Funder
Australian Research Council
Funding Amount
$361,996.00
Summary
Human factors approaches for the safe introduction of autonomous vehicles. This project aims to address potential safety risks arising from the introduction of advanced autonomous vehicles through a novel integration of human factors and computer-based simulation techniques. While automation promises to reduce crashes, the project expects to generate new knowledge about the emergence of risks through interactions between human road users and autonomous vehicles, particularly in the initial trans ....Human factors approaches for the safe introduction of autonomous vehicles. This project aims to address potential safety risks arising from the introduction of advanced autonomous vehicles through a novel integration of human factors and computer-based simulation techniques. While automation promises to reduce crashes, the project expects to generate new knowledge about the emergence of risks through interactions between human road users and autonomous vehicles, particularly in the initial transition period. The expected outcomes include an enhanced capacity to understand how risks emerge in complex systems, and the development of specific policy and regulatory interventions. The project expects to provide significant safety benefits by preventing new types of road crash events.Read moreRead less
Establishing safe driving practice: Improving young learner driver training. This project plans to develop a best-practice model to enable professional instructors to teach essential higher-order skills (e.g. hazard perception) to young learner drivers to establish safe driving behaviours. Australian young drivers aged 17–25 years comprise 13 per cent of the population but 22 per cent of road deaths. More effective teaching models are expected to reduce young drivers’ crash risk when they drive ....Establishing safe driving practice: Improving young learner driver training. This project plans to develop a best-practice model to enable professional instructors to teach essential higher-order skills (e.g. hazard perception) to young learner drivers to establish safe driving behaviours. Australian young drivers aged 17–25 years comprise 13 per cent of the population but 22 per cent of road deaths. More effective teaching models are expected to reduce young drivers’ crash risk when they drive unsupervised. The project aims to develop and assess the effectiveness of the model including the impact on instructor teaching practices, and changes in young driver skills, attitudes, and driving behaviours including crashes and offences. It also aims to assess instructor and young driver perceptions of the model.Read moreRead less
Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This wil ....Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This will be used to develop a world-first model of the level crossing system that is needed to support the development of innovative countermeasures that will improve safety. Reductions in the levels of significant trauma at level crossings, and new public policy for level crossing upgrades, are the intended real-world outcomes.Read moreRead less
Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The exp ....Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The expected outputs will provide designers, organisations, regulators and governments with a framework to support the design, implementation, and management of safe and efficient AGI systems. This will ensure that the potential far-reaching benefits of AGI are realised without undue threat to society.Read moreRead less
Using self-report data to predict crash risk: how accurate is it and how can it best be used? The aim of this project is to develop better methods to collect self-reported data about motorists' driving behaviour in order to understand the factors associated with road crashes. The results will not only assist to identify 'at risk' drivers but also inform interventions designed to reduce crashes on Australian roads.
Discovery Early Career Researcher Award - Grant ID: DE150100083
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Driving as a model for investigating and improving visual search abilities. Visual search is a fundamental skill that is required in several aspects of everyday life. Driving represents an example of high-stakes search: we must constantly scan the environment in order to identify both potential hazards and informational cues, such as traffic lights and signs. While most drivers are experienced (they have been driving for years) they are not experts (they have no special training or skills); this ....Driving as a model for investigating and improving visual search abilities. Visual search is a fundamental skill that is required in several aspects of everyday life. Driving represents an example of high-stakes search: we must constantly scan the environment in order to identify both potential hazards and informational cues, such as traffic lights and signs. While most drivers are experienced (they have been driving for years) they are not experts (they have no special training or skills); this lack of expertise potentially affects search accuracy and, in turn, road safety. This project aims to use and extend existing models of visual search performance in order to explore factors that influence drivers' visual search abilities, and to identify strategies for reducing these perceptual failures and, in turn, road crashes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101924
Funder
Australian Research Council
Funding Amount
$461,798.00
Summary
Bolstering conservation outcomes by integrating human behavioural science. This project aims to determine how fisheries compliance can be improved with behavioural interventions. Poaching is the most tenacious problem hindering sustainable fisheries worldwide, yet efforts to reduce non-compliance often fail due to limited understanding of how to influence behaviour. This project will draw on key theories and methods from behavioural science to empirically assess how social norms interventions in ....Bolstering conservation outcomes by integrating human behavioural science. This project aims to determine how fisheries compliance can be improved with behavioural interventions. Poaching is the most tenacious problem hindering sustainable fisheries worldwide, yet efforts to reduce non-compliance often fail due to limited understanding of how to influence behaviour. This project will draw on key theories and methods from behavioural science to empirically assess how social norms interventions influence fisher compliance in a range of coral reef fisheries. This will significantly improve our understanding of how to lever psychological, social, and cultural dimensions to reduce poaching. Ultimately, this project will contribute practical guidance to influence behaviours in fisheries and other environmental contexts.Read moreRead less