Discovery Early Career Researcher Award - Grant ID: DE200100692
Funder
Australian Research Council
Funding Amount
$417,842.00
Summary
Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, ....Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, investigate the psychological mechanisms involved in stopping, and develop tools for defence-related personnel and job selection. The project provides significant benefits by enabling the study of how response inhibition ensures that appropriate actions occur and how failures of inhibition result in inappropriate actions. Read moreRead less
Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies i ....Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies identifying the major influences thereof. Expected outcomes include advances in knowledge of how conflictive uncertainty attitudes relate to risk orientations, personality, and situational factors. Anticipated benefits include improved strategies for decision makers and communicators faced with conflictive uncertainty.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: DE180100015
Funder
Australian Research Council
Funding Amount
$400,996.00
Summary
Understanding attitudes toward ambiguity: A multidimensional framework. This project aims to develop a comprehensive psychological framework and effective measures for assessing attitudes to ambiguity. Using empirical work and quantitative modelling, it will address the multidimensional nature of ambiguity, and likely individual and cultural differences. Attitudes to ambiguity strongly influence people's judgments and the expected outcomes from this project will enhance theoretical understandin ....Understanding attitudes toward ambiguity: A multidimensional framework. This project aims to develop a comprehensive psychological framework and effective measures for assessing attitudes to ambiguity. Using empirical work and quantitative modelling, it will address the multidimensional nature of ambiguity, and likely individual and cultural differences. Attitudes to ambiguity strongly influence people's judgments and the expected outcomes from this project will enhance theoretical understandings and measurement tools for psychological research in decision making. This project aims to provide significant benefits by developing novel strategies for improving decision making in contexts of ambiguity.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
Discovery Early Career Researcher Award - Grant ID: DE140100350
Funder
Australian Research Council
Funding Amount
$375,042.00
Summary
Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predict ....Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predicts decision outcomes from brain activity. This will allow investigation of how decision encoding in the brain changes under the influence of contextual information, and will provide the basis for developing an advanced model for human decision-making in real-life situations.Read moreRead less
Choice models for learning and memory. Life is filled with familiar choices that often require quick decisions about objects in the environment and the contents of memory. This project examines how we learn to make rapid and accurate choices and how we quickly asses the level of confidence we have in recognition decisions based on our memories.