Can attentional re-training reduce food cravings and consumption? This project aims to determine the impact of a procedure involving the re-training of attention to food cues on food cravings and food intake. Results will advance our understanding of food cravings and contribute to interventions aimed at curbing unwanted cravings and (over) consumption.
Imagining and realising the future: limits and potentials in older adulthood. Older adults often forget to carry out important intentions such as turning off appliances, and this research will investigate the role of forward thinking in these memory failures. By testing the effectiveness of new strategies to assist memory for intentions, the research has important implications for maintaining independence in old age.
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
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
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.
Using Converging Methodologies to Understand Episodic and Semantic Memory. The use of four converging methodologies and a new objective measure of implicit/explicit memory will produce a more fundamental understanding of the relationship between pre-existing and episodic memories. The results will be relevant to the current debate over repressed and false memories. The research will also provide more stringent tests of techniques and methods that are having a large impact in applied research ....Using Converging Methodologies to Understand Episodic and Semantic Memory. The use of four converging methodologies and a new objective measure of implicit/explicit memory will produce a more fundamental understanding of the relationship between pre-existing and episodic memories. The results will be relevant to the current debate over repressed and false memories. The research will also provide more stringent tests of techniques and methods that are having a large impact in applied research on aging, drug states etc.Read moreRead less