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Socio-Economic Objective : Expanding Knowledge in Technology
Australian State/Territory : NSW
Research Topic : performance
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210101475

    Funder
    Australian Research Council
    Funding Amount
    $199,000.00
    Summary
    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.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100447

    Funder
    Australian Research Council
    Funding Amount
    $993,643.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP160104706

    Funder
    Australian Research Council
    Funding Amount
    $240,717.00
    Summary
    Performative Body-Mapping (PBM) method for socialising non-humanlike robots. This project aims to transform techniques of embodiment that are central to human–robot interaction, to improve the social skills and acceptability of future robots. Robots are increasingly becoming part of our lives in the sectors of health, education, commerce and leisure. But robots’ social skills today fall far behind their functional capabilities. Performative body-mapping (PBM) aims to address this problem by inve .... Performative Body-Mapping (PBM) method for socialising non-humanlike robots. This project aims to transform techniques of embodiment that are central to human–robot interaction, to improve the social skills and acceptability of future robots. Robots are increasingly becoming part of our lives in the sectors of health, education, commerce and leisure. But robots’ social skills today fall far behind their functional capabilities. Performative body-mapping (PBM) aims to address this problem by inventing and trialling a transdisciplinary body-mapping method for socialising non-humanlike robots. Significantly, this would allow for social robots to be non-humanoid in appearance but still appealing and readable to humans, and robots to be taught to interact by using human movement expertise in an innovative, effective way.
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