The development of predictive brain function in preschool children. This project aims to track developmental changes in brain activity and connectivity in typically developing three-to-six year-old children. The preschool years are a time of huge change in children's cognitive abilities, but little is known of the corresponding changes in brain function. This work will use child-optimised magnetoencephalography to test the hypothesis that early cognitive development is characterised by refinemen ....The development of predictive brain function in preschool children. This project aims to track developmental changes in brain activity and connectivity in typically developing three-to-six year-old children. The preschool years are a time of huge change in children's cognitive abilities, but little is known of the corresponding changes in brain function. This work will use child-optimised magnetoencephalography to test the hypothesis that early cognitive development is characterised by refinement of the brain's innate ability to generate predictions about the sensory environment. The resulting insights could improve understanding of neurodevelopmental disorders such as autism.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100850
Funder
Australian Research Council
Funding Amount
$402,252.00
Summary
Learning to read and understand complex words. This project aims to study the development of morphological reading skills from kindergarten through to high school, providing insights into the full spectrum of abilities required to move from novice to expert reader. Over 80 per cent of English words comprise multiple morphemes, but how children learn to read such complex words is not well understood. Understanding this key reading process will have the potential to inform reading instruction prac ....Learning to read and understand complex words. This project aims to study the development of morphological reading skills from kindergarten through to high school, providing insights into the full spectrum of abilities required to move from novice to expert reader. Over 80 per cent of English words comprise multiple morphemes, but how children learn to read such complex words is not well understood. Understanding this key reading process will have the potential to inform reading instruction practices from primary school through to high school. Expected outcomes are a richer understanding of the predictors, developmental time-course, and mechanisms involved in the acquisition of morphological processes in reading. This project has the potential to inform the effectiveness of explicit morphological teaching and intervention, to the benefit of Australia’s children.Read moreRead less
Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness b ....Misinformation: Evidence evaluation in an alternate fact reality . This project aims to understand why people believe misinformation. Misinformation causes some people to adopt implausible beliefs. These beliefs pose a significant challenge for society because they can result in behaviours that negatively impact personal and public safety. By combining surveys, qualitative analysis, and systematic experimentation, this project will identify differences in evidence evaluation and persuasiveness between people who believe misinformation and those who do not. It is anticipated that our novel approach will build knowledge about misinformation effects and will reduce associated harms by expanding our understanding of how to communicate effectively with people who are persuaded by misinformation.Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater moni ....Control and learning for enhancing capabilities of quantum sensors. This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.Read moreRead less
Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and ....Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and child decision-making, using innovative experimental paradigms and computational modeling. Expected outcomes include a novel computational model that explains developmental change in trap formation. The results will guide strategies for improved decision-making in educational, financial, and social settings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100177
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use in ....Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use information to inform their decisions. This will help organisations to improve products and services and engage with consumers, to create competitive advantage, improve customer service and ultimately stimulate the economy.Read moreRead less
Evidence-accumulation models of external influences on decision-making. This project aims to apply the evidence-accumulation computational framework of decision-making to investigate how simple interventions affect our choices. It intends to use a suite of theory-driven experiments, state-of-the-art techniques for testing the robustness of empirical effects, and the powerful computational machinery inherent in evidence-accumulation models. Expected outcomes include providing a comprehensive char ....Evidence-accumulation models of external influences on decision-making. This project aims to apply the evidence-accumulation computational framework of decision-making to investigate how simple interventions affect our choices. It intends to use a suite of theory-driven experiments, state-of-the-art techniques for testing the robustness of empirical effects, and the powerful computational machinery inherent in evidence-accumulation models. Expected outcomes include providing a comprehensive characterisation of how, why and when simple external factors exert their influence on decision-making. Significant benefits include the enhancement of the world-class status of Australian cognitive and mathematical psychology.Read moreRead less