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Field of Research : Psychology
Research Topic : Machine Tools
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0211406

    Funder
    Australian Research Council
    Funding Amount
    $45,000.00
    Summary
    Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different lear .... Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different learning processes, their comparison will give insight into the basic cognitive process of categorisation. The algorithms for generating feature representations and modelling human category learning will also have potential for application in data visualisation and information handling systems.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562206

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and t .... Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and the way in which they change over time. The profiles will be tied to marketing prospects through interviews and surveys. Applied benefits include the ability to predict, understand and act upon user behaviour. The project also adds substantially to theories of memory, individual differences and decision-making.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773794

    Funder
    Australian Research Council
    Funding Amount
    $510,000.00
    Summary
    Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure present .... Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure presents the opportunity to discover how an intelligent thinking system should operate. In addition, many important problems facing an information economy involve being able to understand how people behave. An understanding of the concepts people use is central to this endeavour.
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    Funded Activity

    Discovery Projects - Grant ID: DP0346651

    Funder
    Australian Research Council
    Funding Amount
    $181,000.00
    Summary
    Development of a validated tool to help manage the risk of human fatigue in the workplace. Our world has embraced many benefits of the 24-hour society. However, these benefits can not be delivered without the costs: one significant cost is human fatigue. A recent federal parliamentary inquiry recommended that a fatigue risk management approach be applied to the regulation of working hours within industry. A key requirement of such an approach, and the aim of the proposed project, is to develo .... Development of a validated tool to help manage the risk of human fatigue in the workplace. Our world has embraced many benefits of the 24-hour society. However, these benefits can not be delivered without the costs: one significant cost is human fatigue. A recent federal parliamentary inquiry recommended that a fatigue risk management approach be applied to the regulation of working hours within industry. A key requirement of such an approach, and the aim of the proposed project, is to develop a scientifically validated tool to help manage the work-related fatigue associated with hours-of-work. Ultimately, this will reduce the costs of our 24-hour society on employees, their families, organisations and the wider community.
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    Showing 1-4 of 4 Funded Activites

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