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Australian State/Territory : QLD
Research Topic : computer
Field of Research : Information Systems
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP110101999

    Funder
    Australian Research Council
    Funding Amount
    $340,000.00
    Summary
    Sociophysical Interactions: understanding the role of social and tangible technologies in maintaining good habits into old age. How can technology help us 'age well'? The project will study, design and evaluate novel information systems that integrate and support social engagement and physical activity in order to build foundational knowledge about these technologies and maintain the opportunities for social engagement and physical activity in our ageing population.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100232

    Funder
    Australian Research Council
    Funding Amount
    $320,553.00
    Summary
    Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time informat .... Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time information, the study will deliver research findings that inform viable new design approaches and information interfaces which will strengthen Australia's position to resolve the problems of obesity, malnutrition and ecological issues of mass food processing, and contribute to the sustainability of life in Australian cities.
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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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    Funded Activity

    Discovery Projects - Grant ID: DP140102325

    Funder
    Australian Research Council
    Funding Amount
    $477,000.00
    Summary
    Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to exte .... Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to extend their pastime online with new kinds of interactive tools to enable collaborative analysis of big audio data, and new kinds of birding experiences. Outcomes will be: new approaches to physical/virtual engagement in human-computer interaction; new approaches to analysing big data; a new validated ecological monitoring technique and concepts for sustainable knowledge generation communities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103582

    Funder
    Australian Research Council
    Funding Amount
    $506,000.00
    Summary
    Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-de .... Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-design and iterative prototyping in the domains of radiology training and environmental learning, we will devise and evaluate exemplar systems that support humans to interactively frame problems, explore and learn, while utilising and improving machine models, leading to a guiding framework for designing human-machine teaming.
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