Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less
The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact ....The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact of sociocultural context. It is anticipated that this novel integrative approach will substantially expand our understanding of misinformation effects, and that this theoretical progress will result in the formulation of specific communication strategies to reduce the impact of misinformation on society.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