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Field of Research : Accessible computing
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240100824

    Funder
    Australian Research Council
    Funding Amount
    $398,033.00
    Summary
    Developing Accessible Playgrounds for Children with Vision Impairment. Children who are blind or have low vision (BLV) often have difficulties accessing and interacting with playgrounds, most of which are not equipped to support them. Through consultation, collaboration and co-creation with the BLV community, foundational knowledge on the user experience of playgrounds, an evaluation framework for auditing existing playgrounds and design guidelines for creating or retrofitting playgrounds will b .... Developing Accessible Playgrounds for Children with Vision Impairment. Children who are blind or have low vision (BLV) often have difficulties accessing and interacting with playgrounds, most of which are not equipped to support them. Through consultation, collaboration and co-creation with the BLV community, foundational knowledge on the user experience of playgrounds, an evaluation framework for auditing existing playgrounds and design guidelines for creating or retrofitting playgrounds will be developed that support the unique challenges of BLV children and carers. Importantly it will promote access, orientation, physical and social play for BLV children, with improved cognitive, physical and social development, thus enabling a more inclusive and healthy society.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230100049

    Funder
    Australian Research Council
    Funding Amount
    $459,030.00
    Summary
    Towards automated Australian Sign Language translation. This project aims to address the computational modelling of Auslan. The project expects to generate knowledge by creating the largest Auslan dataset, enabling further advancements in this research area. The dataset will also play an essential role in other research fields, e.g., sign linguistics. Expected outcomes include the invention of the first Auslan recogniser and generator capable of distinguishing and synthesising 1000+ signs, repre .... Towards automated Australian Sign Language translation. This project aims to address the computational modelling of Auslan. The project expects to generate knowledge by creating the largest Auslan dataset, enabling further advancements in this research area. The dataset will also play an essential role in other research fields, e.g., sign linguistics. Expected outcomes include the invention of the first Auslan recogniser and generator capable of distinguishing and synthesising 1000+ signs, representing a substantial advancement towards fully automated Auslan translation. This should provide significant benefits for the Australian Deaf community, such as high-quality digital systems for education and communication, resulting in increased quality of life and inclusion in the Australian society.
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