Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101181
Funder
Australian Research Council
Funding Amount
$384,183.00
Summary
How Do Our Past Decisions Affect Our Present Decisions? – An Innovative Model. Decisions under time pressure made in the past have a tendency to affect our current decisions. This phenomenon is often termed ‘sequential effects’. Typically, sequential effects are explained by positing the existence of a psychological mechanism that is specifically aimed at resolving conflicting information. The aim of this project is to develop a computational model that produces sequential effects naturally. Inn ....How Do Our Past Decisions Affect Our Present Decisions? – An Innovative Model. Decisions under time pressure made in the past have a tendency to affect our current decisions. This phenomenon is often termed ‘sequential effects’. Typically, sequential effects are explained by positing the existence of a psychological mechanism that is specifically aimed at resolving conflicting information. The aim of this project is to develop a computational model that produces sequential effects naturally. Innovatively, this model would remove the need for an explicit conflict monitoring mechanism. This project is significant because it progresses our understanding of how humans deal with conflict. The expected outcome is a comprehensive, quantitative account of sequential effects in human decision making.Read moreRead less
How strong inference has failed psychology, and an updated approach. There are so many quantitative theories of cognition that it can be difficult to see the forest for the trees. This project will contend that this is caused by suboptimal model selection. Comprehensive data sets and modern statistical techniques will be used to evaluate competing accounts in five paradigms, thinning the trees to reveal the forest.
The basics of reading: How are letter-strings identified as words? In order for people to read effectively, the mental representation of each letter-string must be found in long-term memory. The aim of this project is to more fully understand the nature of proficient visual word recognition with a particular focus on the way in which the form of the word is mentally stored and retrieved during the act of reading. A range of issues will be examined from letter position coding through to how words ....The basics of reading: How are letter-strings identified as words? In order for people to read effectively, the mental representation of each letter-string must be found in long-term memory. The aim of this project is to more fully understand the nature of proficient visual word recognition with a particular focus on the way in which the form of the word is mentally stored and retrieved during the act of reading. A range of issues will be examined from letter position coding through to how words with a complex internal structure are processed, all framed within a unified model of word recognition. An understanding of the mechanisms underlying proficient adult reading is significant and beneficial in that it is expected to provide a framework for guiding both reading acquisition and reading improvement programs.Read moreRead less
Rapid decisions: from neuroscience to complex cognitions. A succession of rapid decisions supports our daily life - run or walk? Fish or steak? This project will integrate three different approaches to understanding these decisions, from neuroscience, mathematical psychology and experimental psychology. This research will provide insights about normal human functioning, and problems such as occur in healthy ageing.
The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include ....The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include maintaining and enhancing the excellent status of Australian psychological and cognitive science. The downstream benefits include elucidating the development of anxiety disorders and problem gambling.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
Cracking the orthographic code: investigating early perceptual processes in reading. Current understanding of how human readers decode a string of letters into known words is inadequate. This project advances understanding of this early reading process, by combining computational modelling, behavioural and brain imaging approaches.
Beyond reading jumbled words: Bridging perception and language in the Noisy Channel model. Classic computational models of visual word recognition do not consider the noise present in early perceptual processes, and they cannot cope with “jubmled wrods”- words with distorted letter order, unlike skilled readers. Previous work has developed the Noisy Channel model which can recognise such words, modelled as an optimal Bayesian inference process operating on a noisy visual input where there is unc ....Beyond reading jumbled words: Bridging perception and language in the Noisy Channel model. Classic computational models of visual word recognition do not consider the noise present in early perceptual processes, and they cannot cope with “jubmled wrods”- words with distorted letter order, unlike skilled readers. Previous work has developed the Noisy Channel model which can recognise such words, modelled as an optimal Bayesian inference process operating on a noisy visual input where there is uncertainty in the identity and order of letters. In this project, using computational modeling and behavioural experiments, the scope of the Noisy Channel model will be extended to address the role of phonology in the early stages of reading. The outcome will be a better understanding of the link between visual perception and language.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