Discovery Early Career Researcher Award - Grant ID: DE200100898
Funder
Australian Research Council
Funding Amount
$421,979.00
Summary
Information Embodiment Framework for Education using Immersive Technologies. The project aims to develop a framework to apply mixed reality technologies in education, by fusing the information with human physical, physiological, cognitive and emotional perceptions. The current approach translates existing contents into 3D which does not scale and causes cognitive overload. The project conceptually advances the design and development of mixed reality applications. The expected outcome is a mixed ....Information Embodiment Framework for Education using Immersive Technologies. The project aims to develop a framework to apply mixed reality technologies in education, by fusing the information with human physical, physiological, cognitive and emotional perceptions. The current approach translates existing contents into 3D which does not scale and causes cognitive overload. The project conceptually advances the design and development of mixed reality applications. The expected outcome is a mixed reality integration framework for effective communication, applicable to manufacturing, health, tourism and arts. The benefits are enhanced learning with engaging resources, with positive impact on student learning outcomes and motivation, in both formal and informal education settings such as schools, galleries, and museums.Read moreRead less
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less