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
Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how ind ....Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how individuals learn to drive, changes in skill and attitudes as well as the influence on crashes and offences. It is intended that a second parallel study will adapt the intervention for Indigenous Australians and examine the effectiveness of this adaptation.Read moreRead less
A new training approach to address the novice driver problem. This project aims to develop a new approach to driver training. For the second consecutive year, road deaths in Australia have increased by 150 from 2014 to 2016. The increase in deaths was greatest for young drivers between the ages of 17-25 years, who remain over-represented in road deaths. The majority of these deaths occur in the first few months after licensing. This project expects to generate new knowledge, where the focus is o ....A new training approach to address the novice driver problem. This project aims to develop a new approach to driver training. For the second consecutive year, road deaths in Australia have increased by 150 from 2014 to 2016. The increase in deaths was greatest for young drivers between the ages of 17-25 years, who remain over-represented in road deaths. The majority of these deaths occur in the first few months after licensing. This project expects to generate new knowledge, where the focus is on developing young driver’s cognitive skills about speed choice through the provisions of a training program that focuses on feedback. The results will have the potential to be used by road authorities and driver training organisations to improve road safety.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
Can the relational account of attention explain search in natural environments and inattentional blindness? This project aims to further extend the relational theory of attention to account for visual search and inattentional blindness in natural environments. In addition, the neuronal correlates for inattentional blindness will be investigated with the use of Functional Magnetic Resonance Imaging (fMRI). The research has fundamental implications for theories of visual attention and awareness, a ....Can the relational account of attention explain search in natural environments and inattentional blindness? This project aims to further extend the relational theory of attention to account for visual search and inattentional blindness in natural environments. In addition, the neuronal correlates for inattentional blindness will be investigated with the use of Functional Magnetic Resonance Imaging (fMRI). The research has fundamental implications for theories of visual attention and awareness, and will advance understandings of how and why we frequently fail to notice potentially important objects and events in the environment.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.