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Current Selection
Status : Active
Field of Research : Computer-Human Interaction
Australian State/Territory : VIC
Research Topic : design
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Computer-Human Interaction (3)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200102612

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Designing digital aquatic play to foster Australians’ engagement with water. From the beach to the pool, aquatic play is key to Australians’ quality of life and advances physical, mental and social wellbeing. This project harnesses our increasing use of interactive technology (such as wearables) to develop the world’s first design theory on interactive aquatic play. The project creates and evaluates three inspirational aquatic play prototypes, advancing confidence in water skills, self-expressio .... Designing digital aquatic play to foster Australians’ engagement with water. From the beach to the pool, aquatic play is key to Australians’ quality of life and advances physical, mental and social wellbeing. This project harnesses our increasing use of interactive technology (such as wearables) to develop the world’s first design theory on interactive aquatic play. The project creates and evaluates three inspirational aquatic play prototypes, advancing confidence in water skills, self-expression through movement and employment of safe practices to enrich Australian’s physical engagement with water. Digital media developers, government interventions and wellbeing groups can use the derived design knowledge to leverage digital technology and aquatic interactivity to foster Australians’ physical engagement with water.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100723

    Funder
    Australian Research Council
    Funding Amount
    $630,000.00
    Summary
    Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of .... Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of systems. We will design and develop solutions that may address the issues and test those interventions in a longitudinal manner. The outcome will be a framework which can be applied in a variety of situations and modalities by designers and developers of such systems, and feed into childhood technology guidelines.
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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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