A statistical decision theory of cognitive capacity. This project aims to investigate the limited capacity of the human cognitive system to form representations of the things in the world around us and to make decisions about them in real time. Its goal is to provide an integrated theory of cognitive capacity based on the statistical properties of cognitive representations and the decision processes that act on them. Its expected outcome will be a unified metric for cognitive capacity that will ....A statistical decision theory of cognitive capacity. This project aims to investigate the limited capacity of the human cognitive system to form representations of the things in the world around us and to make decisions about them in real time. Its goal is to provide an integrated theory of cognitive capacity based on the statistical properties of cognitive representations and the decision processes that act on them. Its expected outcome will be a unified metric for cognitive capacity that will allow us to quantify how cognitive load affects the speed and accuracy of decision making. It will benefit the design and evaluation of high workload real-time decision systems and will contribute to the selection and training of users of such systems.
Read moreRead less
Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes incl ....Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.Read moreRead less
Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly d ....Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly due to a re-shaping and narrowing of the target template. These are both ground-breaking discoveries that have not been described before. Work on this project promises to lead to important theoretical breakthroughs, resolve current discrepancies in the literature and advance methods of Cognitive Psychology and Neuroscience.Read moreRead less