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Current Selection
Status : Active
Field of Research : Computer-Human Interaction
Research Topic : INNOVATION DIFFUSION
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Computer-Human Interaction (3)
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  • Researchers (26)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200101059

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping technique .... An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping techniques. The principal anticipated outcome of the project is a model for how to enhance creative work through interacting with AI, an opportunity that is currently largely unexplored. Benefits will include an increase in the rate of creative outputs, both within the creative industries and throughout the economy.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102349

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Information support tools for the trauma patient pathway. Processes such as critical supply chain management, disaster management, and trauma patient pathways need people, resources, and information to be smoothly transferred between jurisdictions, but problems can occur at each handover. This project focuses on the prehospital to hospital patient pathway and aims to develop technologies, devices, and displays to support more effective handover of patients between jurisdictions. The project will .... Information support tools for the trauma patient pathway. Processes such as critical supply chain management, disaster management, and trauma patient pathways need people, resources, and information to be smoothly transferred between jurisdictions, but problems can occur at each handover. This project focuses on the prehospital to hospital patient pathway and aims to develop technologies, devices, and displays to support more effective handover of patients between jurisdictions. The project will conduct field research, design activities, and simulation-based evaluation of prototypes with healthcare professionals. Expected outcomes are designs, technologies, and guidelines that will generalise to other multi-jurisdictional processes. Benefits are safer and more efficient handover processes.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101223

    Funder
    Australian Research Council
    Funding Amount
    $399,171.00
    Summary
    Explainable Artificial Creativity. This project aims to develop explainable models for creative AI systems which enable more productive and satisfying interactions between them and their human co-creators. This will boost both human and machine creativity through sustained, ongoing exchanges, leading to high-quality creative outcomes via automated ideation and more advanced human-machine collaborations. The proposed techniques will be validated with creative professionals, ensuring practical ind .... Explainable Artificial Creativity. This project aims to develop explainable models for creative AI systems which enable more productive and satisfying interactions between them and their human co-creators. This will boost both human and machine creativity through sustained, ongoing exchanges, leading to high-quality creative outcomes via automated ideation and more advanced human-machine collaborations. The proposed techniques will be validated with creative professionals, ensuring practical industry relevance. We expect the outcomes to include new methods that automatically generate persuasive explanations, new forms of communication including dialogues between creative AI systems and users, and new understanding of general aspects of explainability for creative AI systems.
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    Showing 1-3 of 3 Funded Activites

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