Industrial Transformation Training Centres - Grant ID: IC210100008
Funder
Australian Research Council
Funding Amount
$4,282,859.00
Summary
ARC Training Centre for Behavioural Insights for Technology Adoption (BITA). Australia needs accelerated adoption of innovation technologies to improve outcomes in health, agriculture and cybersecurity. Despite technically viable solutions, innovations fail to be adopted due to behavioural barriers. Behavioural approaches can promote significant gains by bridging the barriers to technology adoption. The Centre for Behavioural Insights for Technology Adoption will boost national productivity by i ....ARC Training Centre for Behavioural Insights for Technology Adoption (BITA). Australia needs accelerated adoption of innovation technologies to improve outcomes in health, agriculture and cybersecurity. Despite technically viable solutions, innovations fail to be adopted due to behavioural barriers. Behavioural approaches can promote significant gains by bridging the barriers to technology adoption. The Centre for Behavioural Insights for Technology Adoption will boost national productivity by identifying, designing and evaluating solutions that address these barriers. By uniting industry and government with world-leading interdisciplinary researchers, the Centre will build transformative capability in people, data and solutions and support Australian organisations to achieve higher returns on technology investment.Read moreRead less
Decoding change of mind decisions and errors from brain activity in humans. This project intends to provide new insights into how the brain changes a decision to achieve better outcomes. Decision-making is rarely optimal, and in a dynamic world people must often change their initial decisions in order to avoid consequential errors. This project aims to investigate the neural mechanisms underlying such change-of-mind decisions and decision errors in humans. To this end, it plans to use novel deco ....Decoding change of mind decisions and errors from brain activity in humans. This project intends to provide new insights into how the brain changes a decision to achieve better outcomes. Decision-making is rarely optimal, and in a dynamic world people must often change their initial decisions in order to avoid consequential errors. This project aims to investigate the neural mechanisms underlying such change-of-mind decisions and decision errors in humans. To this end, it plans to use novel decoding techniques to predict the evolution of change-of-mind decisions from brain activity while decisions unfold. This approach would clarify how quality of information, effort, and reward are integrated at a neural level to bias people towards changing their decisions. The expected results would provide an improved understanding of the neural dynamics of errors and how the brain corrects decisions online to achieve better outcomes.Read moreRead less
Super Financial Security: Improving Flexibility, Trust and Communication. This project aims to address the significant worldwide challenge of how to safeguard financial wellbeing at older ages. In doing so it aims to investigate three important and interconnected influences on retirement preparation: flexible choice architecture, trust formation and effective communication. The project aims to use a combination of innovative modelling, experimental and field-based approaches. The principal expec ....Super Financial Security: Improving Flexibility, Trust and Communication. This project aims to address the significant worldwide challenge of how to safeguard financial wellbeing at older ages. In doing so it aims to investigate three important and interconnected influences on retirement preparation: flexible choice architecture, trust formation and effective communication. The project aims to use a combination of innovative modelling, experimental and field-based approaches. The principal expected outcomes are insights into the factors that guide superannuation choice, build trust with superannuation providers, and ensure clear and effective communication with members.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100350
Funder
Australian Research Council
Funding Amount
$375,042.00
Summary
Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predict ....Decoding unstable decision preferences from brain activity. We often have to make decisions despite lacking clear preferences. This leaves us susceptible to biases from stimuli and information in our environment. This project investigates how simple, perceptual decisions and financial decisions are influenced by contextual information. The project will combine state-of-the-art neuroimaging technology with machine learning methods to develop a novel decision-decoding toolbox that directly predicts decision outcomes from brain activity. This will allow investigation of how decision encoding in the brain changes under the influence of contextual information, and will provide the basis for developing an advanced model for human decision-making in real-life situations.Read moreRead less
The desire for knowledge: Neural mechanisms of information-seeking. This project aims to determine the mechanisms that drive individuals to seek out information, and to characterise the neural processes that underlie how that information is valued. The project tests the idea that information is represented in the brain as a form of reward. The results are expected to contribute significant mechanistic insights at the level of brain and behaviour on the nature of information value. This is likely ....The desire for knowledge: Neural mechanisms of information-seeking. This project aims to determine the mechanisms that drive individuals to seek out information, and to characterise the neural processes that underlie how that information is valued. The project tests the idea that information is represented in the brain as a form of reward. The results are expected to contribute significant mechanistic insights at the level of brain and behaviour on the nature of information value. This is likely to have wide-ranging implications across multiple domains of human endeavour, including education, work-place efficiency, policy development, and consumer behaviour.Read moreRead less
The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will ....The brain in real time: a neural model of rhythmic action and perception. This project aims to study a fundamental function of the human brain: its temporal architecture. It will provide an innovative perspective on the neural mechanisms underlying and relating perception, intention, and voluntary action in real time, though a combination of eye-tracking, behaviour, and neural recordings. By providing a common language with which to relate perception, cognition, volition and action, this will provide significant benefits that will transform the way we think about brain function.Read moreRead less
Self-control and pathologies of agency. This project will develop a philosophically and scientifically sophisticated account of the nature of self-control. This account will provide tools for allocating responsibility for failures of self-control and will contribute to the development of means for enhancing it, thereby aiding in addressing major social problems.
Cognitive models of decision making in clinical populations. This cognitive science project aims to develop new methods for mathematical modelling of decision making, and to apply these methods to study decision making in people with problem drug use. Precise measures of the thought processes underlying decision making in drug users will help to direct efforts to prevent and treat drug problems.
Improving human reasoning with causal Bayes networks: a multimodal approach. This project aims to improve human causal and probabilistic reasoning about complex systems by taking a user-centric, multimodal, interactive approach. The project will explore new integrated visual and verbal ways of explaining a causal probabilistic model and its reasoning, to reduce known human reasoning difficulties, and investigate how to reduce cognitive load by prioritising the most useful user- and context-speci ....Improving human reasoning with causal Bayes networks: a multimodal approach. This project aims to improve human causal and probabilistic reasoning about complex systems by taking a user-centric, multimodal, interactive approach. The project will explore new integrated visual and verbal ways of explaining a causal probabilistic model and its reasoning, to reduce known human reasoning difficulties, and investigate how to reduce cognitive load by prioritising the most useful user- and context-specific information. Expected outcomes include novel AI methods that empower users to drive the reasoning process and strengthen trust in the system’s reasoning. Performance will be assessed in medical and legal domains, with significant potential benefits to end users from better, more transparent reasoning and decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101301
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make ....Cognitive Models of Human Decision-making in Cybersecurity Settings. This project aims to study human decision-making by attackers, defenders and users, in a cyber-security setting. Cognitive modelling of these decisions will play a central role in understanding and optimising the safety of cyberspace. This project will involve three components: new behavioural experiments focusing on cybersecurity situations of prevention and detection; cognitive models to understand and predict how people make decisions in such settings; and the evaluation of these models against behavioural data using Bayesian statistical methods. This will then be applied to operational problems that will involve, determining optimal security policies, automated behaviour in adversarial situations, and individualised training.Read moreRead less