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Research Topic : Design Studio Practice
Australian State/Territory : NSW
Field of Research : Cognitive Science
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  • Funded Activity

    Linkage Projects - Grant ID: LP120100063

    Funder
    Australian Research Council
    Funding Amount
    $332,000.00
    Summary
    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.
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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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    Funded Activity

    Discovery Projects - Grant ID: DP180103613

    Funder
    Australian Research Council
    Funding Amount
    $327,019.00
    Summary
    The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new fram .... The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new framework for understanding the optimality of human decision making. This outcome has the potential benefit of providing insight into decision mechanisms across a range of contexts, particularly ageing and models of applied decision making.
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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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    Funded Activity

    Discovery Projects - Grant ID: DP170101684

    Funder
    Australian Research Council
    Funding Amount
    $295,000.00
    Summary
    A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to addre .... A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to address fundamental issues in visual working memory.
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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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    Funded Activity

    Discovery Projects - Grant ID: DP190101224

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program .... The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program of experimental investigation and computational modelling. The anticipated benefits include an enhanced understanding of human inference, especially in domains such as the evaluation of forensic or financial evidence, where data censoring is common.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101094

    Funder
    Australian Research Council
    Funding Amount
    $534,209.00
    Summary
    Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diag .... Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diagnosing underlying processes from behavioural data. The project is expected also to develop a new computational model that accounts for both inductive and deductive forms of reasoning.
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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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    Funded Activity

    ARC Future Fellowships - Grant ID: FT100100376

    Funder
    Australian Research Council
    Funding Amount
    $669,952.00
    Summary
    Inventiveness and the progress of product innovation. Quantitative models of inventiveness will be used to forecast the potential rate of improvement of a technology and to re-design products to improve more rapidly and steadily. By focusing on innovation in products and technologies in energy conversion, this research can guide development funding for low-carbon energy generation.
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    Showing 1-10 of 10 Funded Activites

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