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The cost of keeping gruesome images from the world. This project aims to investigate one of society’s most invisible ‘frontline’ trauma workforces—the online content moderators responsible for limiting the public’s exposure to distressing and sensitive content on social media. Using a series of rigorous experiments, and cutting-edge psychological and physiological assessment techniques, the research will advance our understanding of the impact of indirect trauma on mental health. Expected outcom ....The cost of keeping gruesome images from the world. This project aims to investigate one of society’s most invisible ‘frontline’ trauma workforces—the online content moderators responsible for limiting the public’s exposure to distressing and sensitive content on social media. Using a series of rigorous experiments, and cutting-edge psychological and physiological assessment techniques, the research will advance our understanding of the impact of indirect trauma on mental health. Expected outcomes include novel empirical evidence for preventative strategies that will predict, monitor and reduce negative mental health outcomes. This will provide significant global benefits to people with indirect trauma experiences, such as defence and forensic personnel.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100206
Funder
Australian Research Council
Funding Amount
$423,154.00
Summary
Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build interna ....Pain: Open to interpretation? This project aims to determine how pain interpretation drives pain experience, using rigorous state-of-the-art lab research. This project expects to generate new knowledge about the psychological mechanisms maintaining pain experience and avoidance behaviour, using novel techniques to measure interpretation of pain sensations. Expected outcomes include the development of an evidence-based psychological model of pain interpretation, enhanced capacity to build international collaborations, and ecologically valid methods for measuring pain interpretation. This research forms a solid platform for further translational research, to build novel, scalable interventions to improve outcomes for the one in five Australians living with chronic pain.Read moreRead less
Things don’t always go better with Coke. This project aims to test whether soft drink use is governed partly by automatic processes (cognitive biases) that operate largely outside of conscious control. In so doing, the project expects to generate a new conceptual understanding of the mechanisms that drive the overconsumption of soft drinks. Expected outcomes include theoretical innovation, new research methodologies, and accessible cost-effective technologies for reducing excessive sugar intake ....Things don’t always go better with Coke. This project aims to test whether soft drink use is governed partly by automatic processes (cognitive biases) that operate largely outside of conscious control. In so doing, the project expects to generate a new conceptual understanding of the mechanisms that drive the overconsumption of soft drinks. Expected outcomes include theoretical innovation, new research methodologies, and accessible cost-effective technologies for reducing excessive sugar intake from soft drinks, in line with recent World Health Organization guidelines. These outcomes will contribute to combatting obesity and tooth decay.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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How people learn inhibitory associations. This project aims to combine insights from associative and cognitive theories to investigate how people acquire, represent and generalise knowledge about inhibitory, or preventative, relationships. The project intends to use novel methods to assess the inhibitory causal structures inferred by individual participants, expected to include direct outcome prevention, modulation of a causal relationship, and configural learning. This project should expand our ....How people learn inhibitory associations. This project aims to combine insights from associative and cognitive theories to investigate how people acquire, represent and generalise knowledge about inhibitory, or preventative, relationships. The project intends to use novel methods to assess the inhibitory causal structures inferred by individual participants, expected to include direct outcome prevention, modulation of a causal relationship, and configural learning. This project should expand our understanding of the mechanisms of human associative learning. The project should benefit and inform clinical interventions based on identifying and normalising maladaptive learned associations.Read moreRead less