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
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
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.
Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual bra ....Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.Read moreRead less
Rapid motor responses in young and older adults. This proposal aims to contribute to our understanding of basic neural mechanisms mediating rapid motor actions across our lifespan. One in four Australians will be over the age of 65 by the year 2056. The project plans to investigate how changes in brain structure and function, as well as alterations in cognitive processing abilities that occur in older age, affect rapid choices between various alternative motor actions as well as our ability to s ....Rapid motor responses in young and older adults. This proposal aims to contribute to our understanding of basic neural mechanisms mediating rapid motor actions across our lifespan. One in four Australians will be over the age of 65 by the year 2056. The project plans to investigate how changes in brain structure and function, as well as alterations in cognitive processing abilities that occur in older age, affect rapid choices between various alternative motor actions as well as our ability to stop motor responses once they are planned. It plans to combine noninvasive brain stimulation with novel behavioural experiments and computational modelling techniques to develop fundamental new knowledge of the natural processes that characterise age-related changes in rapid motor actions.Read moreRead less
The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will ....The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will provide significant benefits that will transform the way we think about brain function.Read moreRead less
Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts define ....Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts defined by abstract relational structure, and by designing educational applications that enhance the use of relational learning mechanisms in students with a wide range of cognitive abilities.Read moreRead less