Discovery Early Career Researcher Award - Grant ID: DE230100171

Funding Activity

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: 01-01-2023

End Date: 31-12-2025

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)

Other Keywords

Air Safety and Traffic Management | Cognitive and Computational Psychology | Decision making | Defence Not Elsewhere Classified | Expanding Knowledge In Psychology | Industrial and organisational psychology (incl. human factors) | Learning motivation and emotion

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