Augmented Sociality: Enabling a Socialised Experience of Augmented Reality. This project will explore new socialised uses of Augmented Reality (AR) that expand creativity, social relations, and participation. We seek to better understand how AR content can be leveraged by people to create their own new ways of learning, collaborating, and relating with each other. To do so we will study and prototype new tools and platforms to allow non-experts to create their own AR media. We aim to enable peop ....Augmented Sociality: Enabling a Socialised Experience of Augmented Reality. This project will explore new socialised uses of Augmented Reality (AR) that expand creativity, social relations, and participation. We seek to better understand how AR content can be leveraged by people to create their own new ways of learning, collaborating, and relating with each other. To do so we will study and prototype new tools and platforms to allow non-experts to create their own AR media. We aim to enable people of all ages, education, and background, to imagine and create, and not just passively consume, AR contents, services, and applications. We will generate new applications of AR, a new platform to collaboratively create these applications, and a new theory of 'Augmented Sociality' to guide AR design.
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Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to p ....Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.Read moreRead less
Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determi ....Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determine the causes of, and conditions responsible for, cybersickness; and 2) offer practical information on how to prevent it. These outcomes are expected to directly benefit, and greatly improve HMD use in, fields ranging from defence, education, entertainment, gaming, medicine, real estate, simulation training and tourism.Read moreRead less
Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101138
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
A multi-scale risk assessment platform for inhaled carbon nanotubes. This project aims to develop a coherent risk assessment platform to evaluate human respiratory exposure to carbon nanotubes. Compared to the exponential growth of carbon nanotubes technology, capability of inhalation risk assessment is lagging. The project expects to generate new knowledge on the unique role and risk of carbon nanotube geometry. It will develop a new transport model and create a unified risk assessment. The exp ....A multi-scale risk assessment platform for inhaled carbon nanotubes. This project aims to develop a coherent risk assessment platform to evaluate human respiratory exposure to carbon nanotubes. Compared to the exponential growth of carbon nanotubes technology, capability of inhalation risk assessment is lagging. The project expects to generate new knowledge on the unique role and risk of carbon nanotube geometry. It will develop a new transport model and create a unified risk assessment. The expected outcome is the enhanced risk assessment capability of human exposure to carbon nanotubes, which will provide a significant benefit to the nanotechnology industry through ensuring safety in developing an emergent technology.Read moreRead less
Enabling Situated Immersive Science Collaboration with Remote Sensing Data . This project aims to help scientists communicate and collaborate in immersive environments. Fieldwork is more valuable to scientists than looking at abstract remote data, but expense, danger, or inaccessible locations often stand in the way. This project will address this issue by researching and designing immersive environments that combine remote data with visualisations and new interaction tools for science teams to ....Enabling Situated Immersive Science Collaboration with Remote Sensing Data . This project aims to help scientists communicate and collaborate in immersive environments. Fieldwork is more valuable to scientists than looking at abstract remote data, but expense, danger, or inaccessible locations often stand in the way. This project will address this issue by researching and designing immersive environments that combine remote data with visualisations and new interaction tools for science teams to make sense of spatial and temporal aspects of data. Outcomes will include new presentation and interaction methods, an evaluation with geoscientists, and a framework for designing interactive systems that enable situated interactions. Benefits will include helping Australian scientists overcome distance in their research. Read moreRead less