Neural metrics for space time and numerosity. What we propose is ground-breaking research. It will increase Australia's international competitiveness is science, expand the knowledge base of brain function and psychology and provide valuable training for research scientists.
Identification and Examination of Visual Cues for Aircraft Glideslope Control. While aviation safety has improved dramatically over the last 50 years, accidents are still more common during landing than any other stage of flight. This project aims to improve our understanding of the way pilots use visual information to land an aircraft. Once our findings have been incorporated into existing training programs, this much-needed information should result in: (i) reduced pilot training time and cost ....Identification and Examination of Visual Cues for Aircraft Glideslope Control. While aviation safety has improved dramatically over the last 50 years, accidents are still more common during landing than any other stage of flight. This project aims to improve our understanding of the way pilots use visual information to land an aircraft. Once our findings have been incorporated into existing training programs, this much-needed information should result in: (i) reduced pilot training time and cost; (ii) increased trainee pilot safety and confidence; and (iii) reduced aircraft maintenance costs. A PhD student, who will be trained in visual perception and aviation, should contribute significantly to future aviation research in this country.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 Metal-Titania Core-Shell Nanostructures for Photocatalysis. The aim of this project is to develop innovative techniques for the synthesis of advanced nanomaterials for pollutant removal and antibacterial applications. Improving the photocatalysis efficiency of titanium oxide (TiO2) is critical in energy and environmental applications. This project aims to develop innovative strategies to prepare metal–TiO2 core-shell nanostructures, in which metals (eg gold, silver) can be used as ....Development of Metal-Titania Core-Shell Nanostructures for Photocatalysis. The aim of this project is to develop innovative techniques for the synthesis of advanced nanomaterials for pollutant removal and antibacterial applications. Improving the photocatalysis efficiency of titanium oxide (TiO2) is critical in energy and environmental applications. This project aims to develop innovative strategies to prepare metal–TiO2 core-shell nanostructures, in which metals (eg gold, silver) can be used as light absorbers for visible incident light and generate intense electromagnetic fields, thus improving efficiency.Read moreRead less
Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amoun ....Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amounts of information nor is it clear whether they process multiple signals simultaneously (in parallel) or one after the other (serial). The project offers new measures, based on the rate and pattern of error responses, to supplement the commonly used response times. The combination of a theoretical framework, based on mathematical and computational work, with empirical data to test the models, may deliver a better understanding of human performance and its limitations.Read moreRead less
Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages thes ....Organization and Plasticity of Visual Processing in a Miniature Brain. To recognise objects a brain must have an internal representation of most likely object appearance. Two ways in which brains may posses this information include a hard wired template system, and/or the neuroplasticity to learn novel objects. Recent investigations on honeybee vision show that this animal can learn to recognise very difficult objects, although currently we do not know how the miniaturised bee brain manages these tasks. This project will reveal changes that occur in the processing of visual objects by the bee's brain with increasing experience, with potential applications including robotics or building interfaces between sensors and biological systems.Read moreRead less
Perovskite Quantum Dots for Solar Hydrogen Generation. Sustainable hydrogen production is highly significant towards decarbonised economy. This project aims to develop new classes of organometal halide perovskite quantum dots (OHPQDs) for efficient photoelecrochemical hydrogen production. The key concept is to design toxic Lead free/less OHPQDs for use as stable photoelectrode materials in self-powered sunlight driven water splitting devices. Expected outcomes include new generation advanced mat ....Perovskite Quantum Dots for Solar Hydrogen Generation. Sustainable hydrogen production is highly significant towards decarbonised economy. This project aims to develop new classes of organometal halide perovskite quantum dots (OHPQDs) for efficient photoelecrochemical hydrogen production. The key concept is to design toxic Lead free/less OHPQDs for use as stable photoelectrode materials in self-powered sunlight driven water splitting devices. Expected outcomes include new generation advanced materials and revolutionary technologies for efficient solar hydrogen generation. The successful completion of this project will significantly benefit Australia by positioning the nation at the frontier of renewable hydrogen supply technologies. Read moreRead less
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.
Determinants and consequences of conscious visual awareness. Usually salient images can disappear from awareness without corresponding stimulus changes. This project is based on an innovative account linking such disappearances to a functional adaptation which facilitates vision in cluttered environments. Project completion will expand Australia's knowledge base, forge links between junior and senior Australian based investigators and provide excellent training opportunities. Publication of rese ....Determinants and consequences of conscious visual awareness. Usually salient images can disappear from awareness without corresponding stimulus changes. This project is based on an innovative account linking such disappearances to a functional adaptation which facilitates vision in cluttered environments. Project completion will expand Australia's knowledge base, forge links between junior and senior Australian based investigators and provide excellent training opportunities. Publication of research in top-ranking international journals will further promote Australian science abroad. Ultimately, this research will have implications for the design and implementation of artificial visual systems, which must overcome many of the same dilemmas faced by the human visual system in cluttered environments.Read moreRead less
Human time perception: A crossmodal investigation. This research program investigates time perception in humans in the subsecond range. Time perception is a crucial aspect of cognitive functioning but one that is poorly understood. The subsecond scale is particularly relevant because it is the time-frame for crucial tasks such as motor coordination, speech perception and crossmodal integration. This project examines time in an audiovisual context, exploring the cognitive limits of our ability to ....Human time perception: A crossmodal investigation. This research program investigates time perception in humans in the subsecond range. Time perception is a crucial aspect of cognitive functioning but one that is poorly understood. The subsecond scale is particularly relevant because it is the time-frame for crucial tasks such as motor coordination, speech perception and crossmodal integration. This project examines time in an audiovisual context, exploring the cognitive limits of our ability to keep track of time and testing whether time is encoded as a basic feature. These experiments will further our knowledge of time perception and lead to improved models of how the brain encodes time.Read moreRead less