Discovery Early Career Researcher Award - Grant ID: DE210101107
Funder
Australian Research Council
Funding Amount
$412,744.00
Summary
Ahead of the Game: Balancing the Gaming Industry and Public Interest. This project battles the risks and embraces the benefits of digital gaming. There is a risk that one loses control of their gaming and prioritises it over other duties. This is offset by the benefits of using digital games for health. It is the first to decode and use the health data embedded in the connection between the gamer and their game persona (avatar). It does this by concurrently assessing important gamer, family, cul ....Ahead of the Game: Balancing the Gaming Industry and Public Interest. This project battles the risks and embraces the benefits of digital gaming. There is a risk that one loses control of their gaming and prioritises it over other duties. This is offset by the benefits of using digital games for health. It is the first to decode and use the health data embedded in the connection between the gamer and their game persona (avatar). It does this by concurrently assessing important gamer, family, cultural and game structure features. Findings will prompt the ethical growth of the Australian Health games industry and inform strategies to combat gaming disorder by tailoring games to users' needs. This will uniquely benefit Australians by re-directing this growing industry to better serve the public interest.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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