Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Choice models for learning and memory. Life is filled with familiar choices that often require quick decisions about objects in the environment and the contents of memory. This project examines how we learn to make rapid and accurate choices and how we quickly asses the level of confidence we have in recognition decisions based on our memories.
Special Research Initiatives - Grant ID: SR0354596
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researche ....Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems. Auditory scenes are temporal and ephemeral yet pervasively influence human life. How humans negotiate such scenes has not been solved, a fact highlighted by attempts to build machines to respond to speech, warnings etc., in real-world situations with room reverberation, different talkers, and background noise. No one discipline can solve such problems. In this network outstanding researchers from physical, medical, human, and social sciences with interests in speech, music and audition will provide insights into how humans and machines localize, recognize, interpret and produce auditory events, and advance frontier technologies, e.g., automatic speech recognition, hearing prostheses, auditory monitoring/warning systems.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
I like you and I just can't help it: Explaining automatic affective responses. Our automatic affective responses are crucial in determining how we behave particularly in situations where there is little conscious deliberation. These automatic responses have been implicated in dysfunctional behaviours such as unhealthy food choices and racial bias. However very little research has investigated the psychological processes responsible for the formation of these automatic affective responses. The ai ....I like you and I just can't help it: Explaining automatic affective responses. Our automatic affective responses are crucial in determining how we behave particularly in situations where there is little conscious deliberation. These automatic responses have been implicated in dysfunctional behaviours such as unhealthy food choices and racial bias. However very little research has investigated the psychological processes responsible for the formation of these automatic affective responses. The aim of this project is to investigate the role of conditioning and cognitive processes in the formation and expression of automatic affective responses. This will allow for the development of novel interventions targeting automatic responses which contribute to dysfunctional behaviour. Read moreRead less
Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual bra ....Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.Read moreRead less
A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critica ....A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.Read moreRead less
Development of a computational model for the prediction of mental workload in air traffic control. The aim of the project is to develop a computational model that can measure the flow of traffic through an air sector, and predict the level of workload that an air traffic controller will experience, as well as the overall risk of breakdowns in separation between aircaft. The purpose is to develop a tool that can be used for the purposes of risk analysis and scenario planning. This is a multidisci ....Development of a computational model for the prediction of mental workload in air traffic control. The aim of the project is to develop a computational model that can measure the flow of traffic through an air sector, and predict the level of workload that an air traffic controller will experience, as well as the overall risk of breakdowns in separation between aircaft. The purpose is to develop a tool that can be used for the purposes of risk analysis and scenario planning. This is a multidisciplinary project, integrating recent models of human memory and reasoning, with formal methods for the analysis of human-computer systems. The project will advance our understanding of human memory and reasoning in complex real-world systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101340
Funder
Australian Research Council
Funding Amount
$362,103.00
Summary
A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a l ....A new state of the art for understanding dynamic self-regulation. This project aims to develop and test a novel mathematical model that explains how people manage competing demands on their time and effort in a dynamic and uncertain environment. The project will use an integrative approach, bringing recent advances in mathematical psychology to bear on a problem of widespread interest within industrial and organisational psychology. The expected outcome is a quantitative theory that achieves a level of precision, generality, and testability that is unmatched in the field. The project will provide the basic research that is needed to extend mathematical models of self-regulation to complex tasks involving rapid decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100015
Funder
Australian Research Council
Funding Amount
$400,996.00
Summary
Understanding attitudes toward ambiguity: A multidimensional framework. This project aims to develop a comprehensive psychological framework and effective measures for assessing attitudes to ambiguity. Using empirical work and quantitative modelling, it will address the multidimensional nature of ambiguity, and likely individual and cultural differences. Attitudes to ambiguity strongly influence people's judgments and the expected outcomes from this project will enhance theoretical understandin ....Understanding attitudes toward ambiguity: A multidimensional framework. This project aims to develop a comprehensive psychological framework and effective measures for assessing attitudes to ambiguity. Using empirical work and quantitative modelling, it will address the multidimensional nature of ambiguity, and likely individual and cultural differences. Attitudes to ambiguity strongly influence people's judgments and the expected outcomes from this project will enhance theoretical understandings and measurement tools for psychological research in decision making. This project aims to provide significant benefits by developing novel strategies for improving decision making in contexts of ambiguity.Read moreRead less