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: DE140101181
Funder
Australian Research Council
Funding Amount
$384,183.00
Summary
How Do Our Past Decisions Affect Our Present Decisions? – An Innovative Model. Decisions under time pressure made in the past have a tendency to affect our current decisions. This phenomenon is often termed ‘sequential effects’. Typically, sequential effects are explained by positing the existence of a psychological mechanism that is specifically aimed at resolving conflicting information. The aim of this project is to develop a computational model that produces sequential effects naturally. Inn ....How Do Our Past Decisions Affect Our Present Decisions? – An Innovative Model. Decisions under time pressure made in the past have a tendency to affect our current decisions. This phenomenon is often termed ‘sequential effects’. Typically, sequential effects are explained by positing the existence of a psychological mechanism that is specifically aimed at resolving conflicting information. The aim of this project is to develop a computational model that produces sequential effects naturally. Innovatively, this model would remove the need for an explicit conflict monitoring mechanism. This project is significant because it progresses our understanding of how humans deal with conflict. The expected outcome is a comprehensive, quantitative account of sequential effects in human decision making.Read moreRead less
How strong inference has failed psychology, and an updated approach. There are so many quantitative theories of cognition that it can be difficult to see the forest for the trees. This project will contend that this is caused by suboptimal model selection. Comprehensive data sets and modern statistical techniques will be used to evaluate competing accounts in five paradigms, thinning the trees to reveal the forest.
Rapid decisions: from neuroscience to complex cognitions. A succession of rapid decisions supports our daily life - run or walk? Fish or steak? This project will integrate three different approaches to understanding these decisions, from neuroscience, mathematical psychology and experimental psychology. This research will provide insights about normal human functioning, and problems such as occur in healthy ageing.
The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include ....The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include maintaining and enhancing the excellent status of Australian psychological and cognitive science. The downstream benefits include elucidating the development of anxiety disorders and problem gambling.Read moreRead less
Evidence-accumulation models of external influences on decision-making. This project aims to apply the evidence-accumulation computational framework of decision-making to investigate how simple interventions affect our choices. It intends to use a suite of theory-driven experiments, state-of-the-art techniques for testing the robustness of empirical effects, and the powerful computational machinery inherent in evidence-accumulation models. Expected outcomes include providing a comprehensive char ....Evidence-accumulation models of external influences on decision-making. This project aims to apply the evidence-accumulation computational framework of decision-making to investigate how simple interventions affect our choices. It intends to use a suite of theory-driven experiments, state-of-the-art techniques for testing the robustness of empirical effects, and the powerful computational machinery inherent in evidence-accumulation models. Expected outcomes include providing a comprehensive characterisation of how, why and when simple external factors exert their influence on decision-making. Significant benefits include the enhancement of the world-class status of Australian cognitive and mathematical psychology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101301
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make ....Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make decisions in such settings; and the evaluation of these models against behavioural data using Bayesian statistical methods. This will then be applied to operational problems that will involve, determining optimal security policies, automated behaviour in adversarial situations, and individualised training.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
Improving young drivers' speed management behaviour. This project incorporates proven educational and training techniques employed within the aviation industry to improve young drivers' speed management skills. Ultimately the results of this project will aid road safety authorities in redesigning training programmes to achieve this goal.
Attention vs Perception: When is selection optimal, when relational? This project aims to investigate an important, newly discovered dissociation between early visual selection and perceptual decision-making. Contrary to current theories, attentional and perceptual processes are tuned to different stimulus attributes described in the relational vs. optimal account, which implies that current theories of attention do not describe early attention but later, decisional processes. This project will ....Attention vs Perception: When is selection optimal, when relational? This project aims to investigate an important, newly discovered dissociation between early visual selection and perceptual decision-making. Contrary to current theories, attentional and perceptual processes are tuned to different stimulus attributes described in the relational vs. optimal account, which implies that current theories of attention do not describe early attention but later, decisional processes. This project will provide an accurate description of these processes, which promises important theoretical breakthroughs. Work on this project will also significantly advance methods to detect and describe early attentional processes, by identifying error-prone methods of Psychophysics and Neuroscience studies, and proposing remedies.Read moreRead less