Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road au ....Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road authorities and driver training providers as to effective training strategies to improve young driver training, and ultimately improve road safety with this vulnerable population.Read moreRead less
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