Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integra ....Using cognitive models to understand memorability of real world images. This proposal aims to understand and make predictions about which real world images -- specifically living things, objects, and human faces -- that people will remember remember via an integration of cognitive models of memory and machine learning techniques. Computer vision models and similarity scaling techniques will be used to produce psychological representations of the images. These representations will then be integrated with cognitive models of memory, which predict that images are more likely to be recognized if they are similar to each of the representations in memory. Large scale memory and similarity rating datasets will be used to develop and test the model.Read moreRead less
Towards a cognitive process model of how attention and choice interact. Before making any decision, we must gather information on what options are available. This process may influence the choices we make: if we do not notice an option, we will not choose it even if it would have been valuable. This project aims to examine how prior experience can produce attentional biases that influence decisions, and will develop a new computational model of this interaction of attention and choice as an outc ....Towards a cognitive process model of how attention and choice interact. Before making any decision, we must gather information on what options are available. This process may influence the choices we make: if we do not notice an option, we will not choose it even if it would have been valuable. This project aims to examine how prior experience can produce attentional biases that influence decisions, and will develop a new computational model of this interaction of attention and choice as an outcome. This new knowledge will enhance the world-class status of Australian cognitive psychology. Moreover, it should provide significant benefits through improving our ability to predict and shape behaviour, and shedding light on the role of biases in healthy cognition and in the context of compulsive behaviours.Read moreRead less
Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational mode ....Tracking towards a complete model of skilled reading comprehension. This project aims to promote the development of the first complete computational model of reading comprehension. Many computational models of sub-components of reading have been developed, but none fully explain the complex co-ordination of perceptual, attentional and cognitive processes required for successful comprehension. The project intends to use eye tracking studies to test and refine Über-Reader, a new computational model that aims to provide a complete account of the memory systems and cognitive processes involved in reading comprehension and how they differ with reading skill. The outcomes will advance understanding of the causes of success and failure in reading and contribute to diagnosing and remediating reading difficulties.Read moreRead less
Constructing social hierarchy. This project aims to generate new philosophical tools for understanding the persistence of social injustice. It will integrate anti-individualist approaches to mind, language, and action explanation in order to better understand the ways in which social hierarchies are created and maintained, often as the unintended outcome of the actions of multiple agents. The project will enrich the public discussion of hate speech, Indigenous/Non-Indigenous relations, and gende ....Constructing social hierarchy. This project aims to generate new philosophical tools for understanding the persistence of social injustice. It will integrate anti-individualist approaches to mind, language, and action explanation in order to better understand the ways in which social hierarchies are created and maintained, often as the unintended outcome of the actions of multiple agents. The project will enrich the public discussion of hate speech, Indigenous/Non-Indigenous relations, and gender equality.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100115
Funder
Australian Research Council
Funding Amount
$328,092.00
Summary
Living to tell, telling to live: Experience, narrative, and the self. A robust sense of self is crucial for our mental wellbeing. This sense of self, philosophical research shows, is constituted by our experiences and the socio-culturally shaped stories we tell about us. However, the fundamental role of these self-narratives remains poorly understood: are they merely retrospective accounts of our experiences, or can they influence them? By analysing the biological underpinnings of the human mind ....Living to tell, telling to live: Experience, narrative, and the self. A robust sense of self is crucial for our mental wellbeing. This sense of self, philosophical research shows, is constituted by our experiences and the socio-culturally shaped stories we tell about us. However, the fundamental role of these self-narratives remains poorly understood: are they merely retrospective accounts of our experiences, or can they influence them? By analysing the biological underpinnings of the human mind and defining the core features of self-narratives, this project will lead to a novel theory about the sense of self. This theory will enhance our understanding of the power of self-narratives and has the potential to provide theoretical foundations for future applied research on the self and its disturbances.Read moreRead less
The neurobiology of curiosity. This project aims to define the neurobiology of curiosity by combining cutting-edge techniques in computational modelling, pharmacointervention and neuroimaging. It is expected to lead to a comprehensive neuroscientific framework of curiosity, which will characterise its evolution over the lifespan, and its dependency on key neurotransmitter systems. Expected outcomes include a legacy of open access stimulus & data sets; the development of a global collaborative ne ....The neurobiology of curiosity. This project aims to define the neurobiology of curiosity by combining cutting-edge techniques in computational modelling, pharmacointervention and neuroimaging. It is expected to lead to a comprehensive neuroscientific framework of curiosity, which will characterise its evolution over the lifespan, and its dependency on key neurotransmitter systems. Expected outcomes include a legacy of open access stimulus & data sets; the development of a global collaborative network; and an increase in our national capacity and profile in decision neuroscience. The benefits of this project include laying the foundations for future interventions to improve curiosity, with potential downstream effects on many aspects of education, social & public policy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100206
Funder
Australian Research Council
Funding Amount
$423,154.00
Summary
Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build interna ....Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build international collaborations, and ecologically valid methods for measuring pain interpretation. This research forms a solid platform for further translational research, to build novel, scalable interventions to improve outcomes for the one in five Australians living with chronic pain.Read moreRead less
The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synt ....The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synthetic (AI-generated) misinformation. The expected outcome is new knowledge on the processing and impacts of emerging types of misinformation and translation into practical interventions. These promise to benefit consumers, educators and policymakers, contributing to a healthier information environment.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL220100061
Funder
Australian Research Council
Funding Amount
$3,147,256.00
Summary
Literacy in adolescence: The next major challenge in the science of reading. This project aims to address the pressing problem of why Australian secondary school children have been declining in literacy. To do so is crucial, since adolescence is a period when strong literacy is critical for knowledge acquisition and preparation for adult life. The project will use a range of theoretically-informed methods to scrutinise cognitive processes in adolescent reading, as well as identify interactions b ....Literacy in adolescence: The next major challenge in the science of reading. This project aims to address the pressing problem of why Australian secondary school children have been declining in literacy. To do so is crucial, since adolescence is a period when strong literacy is critical for knowledge acquisition and preparation for adult life. The project will use a range of theoretically-informed methods to scrutinise cognitive processes in adolescent reading, as well as identify interactions between reading progress and socio-emotional functioning and motivation. Expected outcomes will be the first comprehensive account of secondary school reading acquisition and new insights into how to optimise progress. These will inform research, policy, and reading instruction practice, to the benefit of Australia's children.Read moreRead less
Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the n ....Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the next generation of intelligent systems to accommodate data in a noisy and hostile environment. This should benefit science, society, and the economy nationally and internationally through the applications to trustworthily analyse their corresponding complex data. Read moreRead less