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Status : Active
Research Topic : Political Science
Field of Research : Decision Making
Australian State/Territory : NSW
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  • Researchers (17)
  • Funded Activities (11)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP220102412

    Funder
    Australian Research Council
    Funding Amount
    $410,027.00
    Summary
    Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness b .... Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness between people who believe misinformation and those who do not. It is anticipated that our novel approach will build knowledge about misinformation effects and will reduce associated harms by expanding our understanding of how to communicate effectively with people who are persuaded by misinformation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220103526

    Funder
    Australian Research Council
    Funding Amount
    $268,904.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101592

    Funder
    Australian Research Council
    Funding Amount
    $394,244.00
    Summary
    Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and .... Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and child decision-making, using innovative experimental paradigms and computational modeling. Expected outcomes include a novel computational model that explains developmental change in trap formation. The results will guide strategies for improved decision-making in educational, financial, and social settings.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170100177

    Funder
    Australian Research Council
    Funding Amount
    $365,000.00
    Summary
    Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use in .... Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use information to inform their decisions. This will help organisations to improve products and services and engage with consumers, to create competitive advantage, improve customer service and ultimately stimulate the economy.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190101675

    Funder
    Australian Research Council
    Funding Amount
    $425,000.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102708

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210100313

    Funder
    Australian Research Council
    Funding Amount
    $366,000.00
    Summary
    Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range .... Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range of settings: simple decisions, consumer decisions, human-machine interactions, and team performance. Theory development will lead to improved understanding of underlying cognitive processes, and transforms the measurement of decisions, which is important for applied psychological investigations.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200101787

    Funder
    Australian Research Council
    Funding Amount
    $476,198.00
    Summary
    Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision .... Tracking the Flow of Perceptual Information Through Decision Networks. The choices we make define our lives. Despite exciting progress in neuroscience, we still don’t know how the inner workings of the brain give rise to simple decisions. This project brings together experts from diverse domains of computational neuroscience to investigate how our brains turn perceptual information into action. Together, we will develop new methods to track information flow through the brain during the decision making process. By doing so, we will develop a world-leading model of how the brain makes decisions, and also provide the broader scientific community with a set of exciting new tools for studying information processing in the brain.
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    Active Funded Activity

    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100655

    Funder
    Australian Research Council
    Funding Amount
    $296,113.00
    Summary
    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.
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