Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new kno ....Gaining control of the future: The cognitive development of foresight. Because humans can anticipate their limitations, they can act in the present to shape their future for the better.
This project aims to chart four key developmental processes by which children gain this control over their future
outcomes. It will use novel experimental paradigms to map children’s growing ability to compensate for their limits
with strategic planning, and to improve their future capacities by acquiring new knowledge and innovating
technical solutions. The cognitive underpinnings of these critical behaviours are still poorly understood. This
project will therefore provide the essential empirical foundation for fostering the development of wiser, more
skilled, and more innovative young people.Read moreRead less
The desire for knowledge: Neural mechanisms of information-seeking. This project aims to determine the mechanisms that drive individuals to seek out information, and to characterise the neural processes that underlie how that information is valued. The project tests the idea that information is represented in the brain as a form of reward. The results are expected to contribute significant mechanistic insights at the level of brain and behaviour on the nature of information value. This is likely ....The desire for knowledge: Neural mechanisms of information-seeking. This project aims to determine the mechanisms that drive individuals to seek out information, and to characterise the neural processes that underlie how that information is valued. The project tests the idea that information is represented in the brain as a form of reward. The results are expected to contribute significant mechanistic insights at the level of brain and behaviour on the nature of information value. This is likely to have wide-ranging implications across multiple domains of human endeavour, including education, work-place efficiency, policy development, and consumer behaviour.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101508
Funder
Australian Research Council
Funding Amount
$447,000.00
Summary
A Brain-Behaviour Model of Decision-Making Under Distraction. People make thousands of decisions each day, such as judging whether it is safe to cross the street at a busy intersection. This project aims to investigate how decision-making is impacted when a person is temporarily distracted, for example when receiving a text message alert from one’s phone. By combining recordings of brain activity with cutting-edge mathematical modelling techniques, this project expects to develop a novel theoret ....A Brain-Behaviour Model of Decision-Making Under Distraction. People make thousands of decisions each day, such as judging whether it is safe to cross the street at a busy intersection. This project aims to investigate how decision-making is impacted when a person is temporarily distracted, for example when receiving a text message alert from one’s phone. By combining recordings of brain activity with cutting-edge mathematical modelling techniques, this project expects to develop a novel theoretical framework that captures the effects of distraction on brain networks that underpin human decision-making performance. This knowledge should be highly beneficial for developing informed policies that reduce effects of distraction and preserve decision-making capacity in safety critical situations.Read moreRead less
Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropria ....Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropriate beliefs about unpredictability. This bias is not anticipated by formal theories of learning. The project will investigate how this bias is brought about by first formalising a novel theory of fundamental learning and then systematically testing its assumptions.Read moreRead less
Hippocampal regulation of goal-directed decision-making. The hippocampus is a part of the brain that is central to learning and memory yet little is known about its role in decision-making. It is the aim of this application to provide the first detailed, causal evidence of hippocampal regulation of decision-making. This is significant because many mental health disorders and dementias that involve decision-making deficits are characterised by hippocampal dysfunction, but any direct link between ....Hippocampal regulation of goal-directed decision-making. The hippocampus is a part of the brain that is central to learning and memory yet little is known about its role in decision-making. It is the aim of this application to provide the first detailed, causal evidence of hippocampal regulation of decision-making. This is significant because many mental health disorders and dementias that involve decision-making deficits are characterised by hippocampal dysfunction, but any direct link between these factors is unknown. The outcomes of the current grant will provide the first evidence of that link, thus providing deeper understanding of the neurophysiological mechanisms of these disorders, which could eventuate in the creation of more beneficial treatments. 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
How do we cancel or modify movements? This collaborative project aims to improve our understanding of how movements are rapidly cancelled, or reprogrammed, based on visual cues. Using innovative computational models, non-invasive brain stimulation and recordings of muscle activity, the project aims to elucidate how our brains anticipate the possibility of having to cancel planned actions, and how this changes as a function of healthy ageing. The outcomes are expected to assist in the design of n ....How do we cancel or modify movements? This collaborative project aims to improve our understanding of how movements are rapidly cancelled, or reprogrammed, based on visual cues. Using innovative computational models, non-invasive brain stimulation and recordings of muscle activity, the project aims to elucidate how our brains anticipate the possibility of having to cancel planned actions, and how this changes as a function of healthy ageing. The outcomes are expected to assist in the design of neuromorphic technologies that mimic human brain function. The generated knowledge may also inform future research aimed at maintaining cognitive and motor function in the ageing workforce and treating conditions in which inhibitory control is compromised. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100292
Funder
Australian Research Council
Funding Amount
$380,868.00
Summary
From known to unknown: Individual differences in associative generalisation. This project aims to investigate how and why individuals differ in the way that they generalise from past experiences to novel situations. The goal of the project is to develop an innovative and formal model capable of predicting how a given individual will generalise based on their beliefs and personal traits, and to better understand how people behave when there are multiple conflicting ways to generalise. The expecte ....From known to unknown: Individual differences in associative generalisation. This project aims to investigate how and why individuals differ in the way that they generalise from past experiences to novel situations. The goal of the project is to develop an innovative and formal model capable of predicting how a given individual will generalise based on their beliefs and personal traits, and to better understand how people behave when there are multiple conflicting ways to generalise. The expected outcomes of the project are a better understanding and measurement of generalisation, a fundamental psychological process. The outcomes of this project can be used to benefit the development of clinical treatment for anxiety disorders, of which overgeneralisation of fear responses is a defining feature. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101137
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrast ....The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrastructure, SPAD rates remain unacceptably high and are projected to rise. SPAD risk is currently managed with a retrospective approach that fails to consider non-technical human factors such as time pressure, workload and team communications. By including non-technical dimensions, this project seeks to develop a comprehensive model to explain and prevent SPADs.Read moreRead less