Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE230100171
Funding Status
Active
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Funded Activity Summary
Integrated models of learning and decision making in complex tasks. How do people learn to make decisions in complex work systems when assisted by automation? This project will develop computational models of human learning and decision making that explain and predict complex decisions relevant to industries such as aviation and defence. It will examine how humans learn to use automated advice, how learning affects remembering to perform planned (deferred) actions, and factors that pose a risk to learning and adaptation. The expected outcome is a significant theoretical advance in human factors and cognitive psychology, and a tool for informing work design (e.g., computer interface, task allocation) and training, with the potential to reduce human error in safety-critical workplaces.Funded Activity Details
Start Date: 2023
End Date: 12-2025
Funding Scheme: Discovery Early Career Researcher Award
Funding Amount: $438,560.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Industrial and organisational psychology (incl. human factors) | Learning motivation and emotion | Decision making
ANZSRC Socio-Economic Objective (SEO)
