Discovery Early Career Researcher Award - Grant ID: DE140100750
Funder
Australian Research Council
Funding Amount
$395,106.00
Summary
Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This rese ....Associative learning and fluid intelligence: Computational and neurogenetic analyses. This project investigates genetic contributions to associative learning, one of our most fundamental abilities. Associative learning allows us to navigate in our environment, predict future events and make appropriate decisions. Electrophysiological measures will be used to study learning processes precisely and to investigate their relationship to polymorphisms in genes that regulate neural function. This research will further understanding of the mechanisms that generate individual differences in learning ability and will have applications for educational techniques and behavioural interventions.Read moreRead less
Developing a generative transformational theory of visual perception. This project will develop and test a generative, transformational computer model of visual perception, based on fractal encoding. This uses a powerful similarity metric to select transformations, that, when applied to image elements, generate a replica of the image. The model can detect and analyse structure in regular and semi-regular images, even when embedded in noise. This approach provides an explanation for several perce ....Developing a generative transformational theory of visual perception. This project will develop and test a generative, transformational computer model of visual perception, based on fractal encoding. This uses a powerful similarity metric to select transformations, that, when applied to image elements, generate a replica of the image. The model can detect and analyse structure in regular and semi-regular images, even when embedded in noise. This approach provides an explanation for several perceptual phenomena and illusions. It can reconcile opposed theories of perception and provide a unifying perspective on perception and cognition. Practical applications include the automatic recognition of objects in imagery and the detection of structure in complex data.Read moreRead less
Developing an integrative theoretical account of some basic mechanisms and limiting factors in human perception and cognition. The principal factors limiting cognitive performance are widely considered to be information processing speed, working memory capacity, and the effective control of cognitive processes. The proposed programme aims to develop and test a unifying theory relating these to two of the most basic achievements of the brain - discrimination and identification. This will help us ....Developing an integrative theoretical account of some basic mechanisms and limiting factors in human perception and cognition. The principal factors limiting cognitive performance are widely considered to be information processing speed, working memory capacity, and the effective control of cognitive processes. The proposed programme aims to develop and test a unifying theory relating these to two of the most basic achievements of the brain - discrimination and identification. This will help us to understand the underlying basis of differences and changes in cognitive performance. The outcomes have implications for the design, analysis and interpretation of studies of perception, judgement, memory and intelligence. The research also has applied relevance to neuropsychology, information handling and the design of system interfaces.Read moreRead less
The dynamics of witness confidence effects on juror judgments. While psychologists and criminal justice professionals concur that eyewitness confidence is one of the major influences on juror judgments, previous researchers' treatment of confidence as an invariant testimonial characteristic means that we actually know little about the impact of witness confidence. This research tests social persuasion theories and reveals the dynamic effects on juror judgments and verdicts of the sort of confide ....The dynamics of witness confidence effects on juror judgments. While psychologists and criminal justice professionals concur that eyewitness confidence is one of the major influences on juror judgments, previous researchers' treatment of confidence as an invariant testimonial characteristic means that we actually know little about the impact of witness confidence. This research tests social persuasion theories and reveals the dynamic effects on juror judgments and verdicts of the sort of confidence fluctuations that characterise real witnesses. Knowing how such fluctuations will shape jurors' judgments is vital for judges (when instructing jurors) and for police and lawyers when they assess the likely impact of the witnesses they intend to call.Read moreRead less
A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli an ....A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli and constitutes a perplexing problem for cognitive theory. This project involves an international collaborative effort by five leading researchers in mathematical psychology to develop a comprehensive, integrative model of human performance in absolute identification tasks.
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Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different lear ....Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different learning processes, their comparison will give insight into the basic cognitive process of categorisation. The algorithms for generating feature representations and modelling human category learning will also have potential for application in data visualisation and information handling systems.Read moreRead less
Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and t ....Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and the way in which they change over time. The profiles will be tied to marketing prospects through interviews and surveys. Applied benefits include the ability to predict, understand and act upon user behaviour. The project also adds substantially to theories of memory, individual differences and decision-making.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882563
Funder
Australian Research Council
Funding Amount
$120,000.00
Summary
A Multi-Function Eye-Tracker Facility. Eye-tracking data will provide crucial insights into fundamental issues in the areas of (a) decision processes in eyewitness identification, (b) attentional deficits in autism, and (c) the role of saccades in goal-oriented movements. In turn, these advances have important ramifications for (a) the administration of justice, (b) understanding autism and ameliorating its consequences, and (c) the control of movement in normal and disabled populations. The Fa ....A Multi-Function Eye-Tracker Facility. Eye-tracking data will provide crucial insights into fundamental issues in the areas of (a) decision processes in eyewitness identification, (b) attentional deficits in autism, and (c) the role of saccades in goal-oriented movements. In turn, these advances have important ramifications for (a) the administration of justice, (b) understanding autism and ameliorating its consequences, and (c) the control of movement in normal and disabled populations. The Facility brings together a diverse group of established and early career researchers, many of whom have already demonstrated a capacity to collaborate effectively, providing exciting new collaborative research directions that will enhance Australian science and PhD student training.Read moreRead less
Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure present ....Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure presents the opportunity to discover how an intelligent thinking system should operate. In addition, many important problems facing an information economy involve being able to understand how people behave. An understanding of the concepts people use is central to this endeavour.Read moreRead less
Improving eyewitness identification accuracy using free-report lineups. There is major national and community interest in the successful conduct of criminal investigations. This research addresses the accuracy of eyewitness identification tests. Specifically, we investigate whether developing lineup procedures that separate out witnesses who are unsure of their response will prevent erroneous identifications. Progress on this issue makes an important contribution to decisions about the ideal lin ....Improving eyewitness identification accuracy using free-report lineups. There is major national and community interest in the successful conduct of criminal investigations. This research addresses the accuracy of eyewitness identification tests. Specifically, we investigate whether developing lineup procedures that separate out witnesses who are unsure of their response will prevent erroneous identifications. Progress on this issue makes an important contribution to decisions about the ideal lineup procedure, thereby preventing innocent people from being prosecuted and perpetrators being free to re-offend. Additionally the international collaboration on the project will increase the visibility of Australian social science research and provide crucial development opportunities for young Australian scientists.Read moreRead less