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Research Topic : host/pathogen interaction
Field of Research : Information Systems
Australian State/Territory : ACT
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  • Funded Activity

    Discovery Projects - Grant ID: DP130101094

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Affective sensing technology for the detection and monitoring of depression and melancholia. This project will develop reliable and affective sensing technology and evaluate it as an objective measure of depressive disorders; a leading cause of disability worldwide. Outcomes will significantly support and aid clinicians in their diagnosis and treatment, thus providing a major breakthrough with significant research, healthcare and commercial possibilities.
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    Funded Activity

    Discovery Projects - Grant ID: DP0879736

    Funder
    Australian Research Council
    Funding Amount
    $196,000.00
    Summary
    Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus .... Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus a wider adoption. An examination of users' attitude towards personalised content and concerns about data privacy provides insights to Australian legislation in relation to telemarketing and data-driven marketing. National benefits will stem from a balance between telemarketing efficiency and users' benefits.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE200101100

    Funder
    Australian Research Council
    Funding Amount
    $425,613.00
    Summary
    Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health c .... Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health care, empowering them with empathetic abilities is important for their success. The project will advance fundamental research in machine learning, affective computing and artificial intelligence to model human behavior, personality traits and emotions for an empathetic human-robot interaction.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190101294

    Funder
    Australian Research Council
    Funding Amount
    $380,000.00
    Summary
    Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this i .... Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.
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    Funded Activity

    Discovery Projects - Grant ID: DP160104195

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to .... Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to capture their complex interaction with the data they view, probability models to accumulate information to identify their underlying preferences and extract relationships to find possible ‘hidden variables’ which may help explain and leverage the user's choices.
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    Funded Activity

    Discovery Indigenous Researchers Development - Grant ID: DI0989056

    Funder
    Australian Research Council
    Funding Amount
    $30,000.00
    Summary
    Adoption and Effective Use of Information Communication Technologies in Indigenous Communities in Australia. This project on Indigenous use of the internet aims to identify the reasons why Indigenous Australians are 69% less likely to access the Internet than their non-Indigenous counterparts as demonstrated in the last census. This research will assist in innovative policy development including the creation of a culturally-sensitive model to assist Indigenous communities to raise their use of c .... Adoption and Effective Use of Information Communication Technologies in Indigenous Communities in Australia. This project on Indigenous use of the internet aims to identify the reasons why Indigenous Australians are 69% less likely to access the Internet than their non-Indigenous counterparts as demonstrated in the last census. This research will assist in innovative policy development including the creation of a culturally-sensitive model to assist Indigenous communities to raise their use of computers and the internet. Ultimately the aim of the research is to provide mechanisms to engage Indigenous people with current technology to advance health, education and housing outcomes in their communities.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343994

    Funder
    Australian Research Council
    Funding Amount
    $174,000.00
    Summary
    Floor trading versus computer trading - Does it matter? Computer systems for securities trading date from the 1980s. These systems are large, costly and extremely complex. Outcomes from their introduction were unforeseen and the relevant research literature is sparse. This project will investigate experimentally with a simulated trading system the effects on trading behaviour of important system parameters. Intelligent support systems for traders will also be developed and tested. The project .... Floor trading versus computer trading - Does it matter? Computer systems for securities trading date from the 1980s. These systems are large, costly and extremely complex. Outcomes from their introduction were unforeseen and the relevant research literature is sparse. This project will investigate experimentally with a simulated trading system the effects on trading behaviour of important system parameters. Intelligent support systems for traders will also be developed and tested. The project team combines needed expertise from the areas of human decision making, finance, and advanced information technologies. Results will be important for theory of market microstructure and interactive intelligent systems and also for an important industry in Australia.
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    Showing 1-7 of 7 Funded Activites

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