The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050
Funder
Australian Research Council
Funding Amount
$570,000.00
Summary
Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
Are two processes one too many? An investigation of the viability of the dual-process model of recognition memory. Memory is the glue that holds together our lives and personal identities. While psychologists are developing better and more sophisticated accounts of how it works, many deep questions remain. The present research examines some of these questions in relation to how memory can be decomposed into its component processes and how we are to understand these processes. An appropriate unde ....Are two processes one too many? An investigation of the viability of the dual-process model of recognition memory. Memory is the glue that holds together our lives and personal identities. While psychologists are developing better and more sophisticated accounts of how it works, many deep questions remain. The present research examines some of these questions in relation to how memory can be decomposed into its component processes and how we are to understand these processes. An appropriate understanding of these questions is vital to the development of interventions (both psychological and pharmacological) designed to halt or even reverse memory decline associated with normal aging and age-associated brain disease (such as Alzheimer disease).Read moreRead less
Extending Cognitive Models to Account for Individual Differences. Despite their impressive achievements, cognitive models of memory retention, category learning, and stimulus representation usually model people as ?invariants?, concentrating on what makes them the same. This project aims to extend all three types of model to also treat people as ?individuals?, and account for how people are different. Advanced model selection methods will be used to do this in a way that is complete, general, an ....Extending Cognitive Models to Account for Individual Differences. Despite their impressive achievements, cognitive models of memory retention, category learning, and stimulus representation usually model people as ?invariants?, concentrating on what makes them the same. This project aims to extend all three types of model to also treat people as ?individuals?, and account for how people are different. Advanced model selection methods will be used to do this in a way that is complete, general, and principled. The outcome will be a set of new theoretical models, and new algorithms to learn the models from empirical data, that explain the differences between people in remembering, learning and representing information.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Strengthening community partnerships to promote adolescent school engagement and prevent problems such as alcohol misuse and violence. The project will reduce community rates of adolescent school non-attendance, adolescent alcohol misuse and antisocial behaviour. Adolescent school exclusion, alcohol use and antisocial behaviour are highly prevalent in Australia, and can be reduced using a variety of strategies that are coordinated at the school and community level. The project will decrease adol ....Strengthening community partnerships to promote adolescent school engagement and prevent problems such as alcohol misuse and violence. The project will reduce community rates of adolescent school non-attendance, adolescent alcohol misuse and antisocial behaviour. Adolescent school exclusion, alcohol use and antisocial behaviour are highly prevalent in Australia, and can be reduced using a variety of strategies that are coordinated at the school and community level. The project will decrease adolescent problems through community improvements in child and adolescent protective influences and reductions in risk influences. Furthermore, the project will equip communities with the capacity to learn how to identify and implement strategies to address the major influences that have the potential to reduce adolescent behaviour problems.Read moreRead less
Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and t ....Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and the physiological events measured by the scanning technologies. This has created a problem for how we should interpret the results that are found. The present project aims to close this gap by applying new research methodologies and theoretical insights based on our previous research.Read moreRead less
The relationship between cognitive capacity and driver competence following acquired brain injury: Implications for driver rehabilitation and training. This project develops a model of driver rehabilitation and training, based on speed of information processing variables, for people with acquired brain injuries (ABI). Current evaluations of fitness to drive lack sufficient theoretical and empirical foundations. Consequent problems include inappropriate decisions about fitness to drive, comprom ....The relationship between cognitive capacity and driver competence following acquired brain injury: Implications for driver rehabilitation and training. This project develops a model of driver rehabilitation and training, based on speed of information processing variables, for people with acquired brain injuries (ABI). Current evaluations of fitness to drive lack sufficient theoretical and empirical foundations. Consequent problems include inappropriate decisions about fitness to drive, compromised driver safety, and inadequate driver training. Accurate assessment of ABI processing deficits will generate driver-training programs tailored to individual needs. The project also addresses rehabilitation and training outcomes, particularly as they relate to reduced social services needs and enhanced quality of life. It provides a paradigm for evaluating rehabilitation outcomes in wider contexts.
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State-trace analysis: theory and application. A fundamental question for the science of psychology is: how can we identify the functional components of the human mind from observed behaviour and bodily states? This project explores this question through a new methodology called state-trace analysis and apply it to a basic cognitive ability - the capacity to learn to classify different objects.