Discovery Early Career Researcher Award - Grant ID: DE170100829
Funder
Australian Research Council
Funding Amount
$353,000.00
Summary
The effects of parental education on child health outcomes. This project aims to understand how public education policies can improve health. Common economic analysis of returns to education fails to capture the critical secondary beneficial effects of parental education on future generations’ health. These positive effects are systematically undercounted in the cost-benefit analysis of Australia’s investment in education. This project will use Australian datasets and natural experiments to iden ....The effects of parental education on child health outcomes. This project aims to understand how public education policies can improve health. Common economic analysis of returns to education fails to capture the critical secondary beneficial effects of parental education on future generations’ health. These positive effects are systematically undercounted in the cost-benefit analysis of Australia’s investment in education. This project will use Australian datasets and natural experiments to identify how parental education affects the health outcomes of the second generation. This project expects to provide policy recommendations to maximise health, wellbeing and economic outcomes for Australia.Read moreRead less
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.Read moreRead less
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.Read moreRead less