A general theory of multiple-goal pursuit. The aim of this project is to develop and test a formal theory that explains the mechanisms by which people make choices amongst competing goals in a dynamic and uncertain environment (‘multiple goal pursuit’). People have to manage competing goals in a wide range of settings (for example, work, education, sport), yet the mechanisms are poorly understood. The theory is expected to integrate formal theories of self-regulation with formal theories of deci ....A general theory of multiple-goal pursuit. The aim of this project is to develop and test a formal theory that explains the mechanisms by which people make choices amongst competing goals in a dynamic and uncertain environment (‘multiple goal pursuit’). People have to manage competing goals in a wide range of settings (for example, work, education, sport), yet the mechanisms are poorly understood. The theory is expected to integrate formal theories of self-regulation with formal theories of decision making, to provide a more general account of multiple goal pursuit. The project aims to test the predictions of the theory in a series of experiments in which people have to pursue two goals simultaneously. The experiments allow us to test competing views, and understand the mechanisms involved.Read moreRead less
Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementa ....Improving workplace productivity via an AI-based physical activity chatbot . This project aims to develop, train and evaluate a physical activity chatbot using artificial intelligence and machine learning to improve workplace productivity in sedentary office workers. Productivity losses, due to high numbers of physically inactive workers, cost the Australian economy $14 billion per year. The cost of effective and scalable workplace physical activity programs acts as a barrier to their implementation. As such, innovative programs that can reach large numbers of workers at minimal cost are needed. This project aims to generate new knowledge on the use of artificial intelligence to achieve behavioural improvements and will lead to the development of a new type of behaviour change program with broad applicability.
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Developing and testing dynamic models of goal striving in approach and avoidance contexts. This project will examine how people manage competing goals, such as productivity and safety, in a dynamic environment. The results will improve understanding of human motivation and have implications for practice in military, industrial and commercial settings.