Discovery Early Career Researcher Award - Grant ID: DE180100315
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Social attentive user interfaces for the age of interruption. This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their att ....Social attentive user interfaces for the age of interruption. This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their attention, new methods for attention estimation and classification, and novel systems for e-learning and work productivity that demonstrate these new capabilities. As a result, this project will provide the benefit of enabling system to no longer be blind to users’ attentional, social, and cognitive contexts.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101416
Funder
Australian Research Council
Funding Amount
$338,446.00
Summary
Broadening horizons: using curiosity to diversify behaviour. This project aims to explore how interactive systems can encourage their users to try new things. This is made possible by recent developments in artificial intelligence that can estimate what will make users curious. This project expects to generate new knowledge about how interactive technology can encourage diverse behaviour by stimulating curiosity. Expected outcomes include a framework for how to design interactive systems that en ....Broadening horizons: using curiosity to diversify behaviour. This project aims to explore how interactive systems can encourage their users to try new things. This is made possible by recent developments in artificial intelligence that can estimate what will make users curious. This project expects to generate new knowledge about how interactive technology can encourage diverse behaviour by stimulating curiosity. Expected outcomes include a framework for how to design interactive systems that encourage users to try new things, and a greater theoretical understanding of how to diversify user behaviour.Read moreRead less
Advancing Australia’s hospitality industry through interactive food. This project aims to develop the first framework for the design of interactive food to advance Australia’s hospitality industry. The project expects to co-develop with restaurateurs and chefs interactive sounds, smells and tastes technologies that enable them to create novel eating out experiences and evaluate diners’ reactions. The expected outcome is an easy-to-use toolkit (comprising a software suite and low-cost sensors) th ....Advancing Australia’s hospitality industry through interactive food. This project aims to develop the first framework for the design of interactive food to advance Australia’s hospitality industry. The project expects to co-develop with restaurateurs and chefs interactive sounds, smells and tastes technologies that enable them to create novel eating out experiences and evaluate diners’ reactions. The expected outcome is an easy-to-use toolkit (comprising a software suite and low-cost sensors) that can be readily incorporated into hospitality operations. This should provide significant benefits, such as enticing people to go out and visit restaurants, supporting some of Australia’s 600,000 hospitality jobs while fostering Australia’s innovative food culture.Read moreRead less
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.
Discovery Early Career Researcher Award - Grant ID: DE190101151
Funder
Australian Research Council
Funding Amount
$398,000.00
Summary
Designing augmented eating interfaces to promote mindful eating. This project aims to develop and test novel augmented eating interfaces in order to address the contradiction between the concept of mindful eating (no distractions) and the reality of screen cultures (eating with screens). Eating while watching screens can be problematic because it can cause overeating, which can manifest into bigger health concerns such as obesity and heart disease. This project expects to generate new knowledge ....Designing augmented eating interfaces to promote mindful eating. This project aims to develop and test novel augmented eating interfaces in order to address the contradiction between the concept of mindful eating (no distractions) and the reality of screen cultures (eating with screens). Eating while watching screens can be problematic because it can cause overeating, which can manifest into bigger health concerns such as obesity and heart disease. This project expects to generate new knowledge in the field of human-food interaction. It presents two new augmented eating systems and a socio-technological study of these systems in use within Australian households. The expected outcomes include a framework on how to design interactive systems that encourage mindful eating without compromising the pleasures of screen-based media and the eating experience, and a greater theoretical understanding of how to support mindful eating in everyday practice.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
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
Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contr ....Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contributors through sensing and active sharing, as well as novel interaction and visualisation approaches to aid in the analysis of the resulting data. The project intends to benefit both the insurers and the insured by making non-traditional data sources available for risk assessment and prevention.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100479
Funder
Australian Research Council
Funding Amount
$427,116.00
Summary
A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of ac ....A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of activity, ii) differential – frequency of activity and iii) integrational – cumulative activity. And a co-design interface to synthesize them into complex activity sensors to fit individualised needs. Finally, we will evaluate the framework by deploying the created sensors in real-world settings and gathering data.Read moreRead less