Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the ....Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the effects of both environmental and social uncertainty in the pursuit of multiple goals. Intended benefits include the development of computational models that can simulate human decision making in complex environments, analyse new concepts of operation, redesign work roles, and identify factors that reduce risk in decision-making.Read moreRead less
Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demand ....Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101130
Funder
Australian Research Council
Funding Amount
$426,770.00
Summary
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final resp ....Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process. The benefit is an improved understanding of decisions, which are a fundamental part of everyday human life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100772
Funder
Australian Research Council
Funding Amount
$393,414.00
Summary
Response Time Constraints on Category Learning. Theories of associative learning and decision-making are among the most mathematically well developed in psychology. However, theories of learning do not account for the time course of decision-making, and theories of decision-making do not account for how decision-relevant information is learned. This project will develop an integrated theoretical framework linking core principles of associative learning theories with sequential sampling models of ....Response Time Constraints on Category Learning. Theories of associative learning and decision-making are among the most mathematically well developed in psychology. However, theories of learning do not account for the time course of decision-making, and theories of decision-making do not account for how decision-relevant information is learned. This project will develop an integrated theoretical framework linking core principles of associative learning theories with sequential sampling models of the time course of decision-making. The new theory will provide a quantitative account of how incremental associative learning processes drive changes in cognitive representations that, in turn, account for known changes in the time course of decision-making.Read moreRead less
Forensic reasoning and uncertainty: identifying pattern and impression expertise. Maintaining high standards of evidence is vital for an effective justice system and ensuring that innocent people are not wrongly accused. This project aims to improve the reliability of forensic evidence and the value of expert testimony in the criminal justice system by examining forensic decision making.
Corpus callosum function in decision making. This project aims to investigate how the major connection between the two brain hemispheres (called the corpus callosum) is involved in higher cognitive functions such as decision making, learning, knowledge updating, and performance optimisation. New knowledge will be generated in the area of human cognition by combining computational theory with measures of cognition and brain MRI. Expected outcomes are to develop and advance computational models o ....Corpus callosum function in decision making. This project aims to investigate how the major connection between the two brain hemispheres (called the corpus callosum) is involved in higher cognitive functions such as decision making, learning, knowledge updating, and performance optimisation. New knowledge will be generated in the area of human cognition by combining computational theory with measures of cognition and brain MRI. Expected outcomes are to develop and advance computational models of human brain function and structure through interdisciplinary collaboration by combing theory and experimentation. Significant benefits will be to advance our understanding of the brain and enhance Australia's scientific capability through training and collaboration.Read moreRead less
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
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
Discovery Early Career Researcher Award - Grant ID: DE180101340
Funder
Australian Research Council
Funding Amount
$362,103.00
Summary
A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a l ....A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a level of precision, generality, and testability that is unmatched in the field. The project will provide the basic research that is needed to extend mathematical models of self-regulation to complex tasks involving rapid decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101393
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Neurobiological mechanisms of decision under uncertainty. The purpose of this project is to understand the behavioural and brain mechanisms underlying decision under uncertainty. This research will uncover the effect that normal variation in brain networks has on choice and contribute to a better understanding of disorders linked to intolerance of uncertainty.