Improving face identification by human-algorithm teams. This project aims to investigate whether humans can use facial recognition technology effectively to assist in face identification tasks. Using

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Improving face identification by human-algorithm teams. This project aims to investigate whether humans can use facial recognition technology effectively to assist in face identification tasks. Using innovative experimental methods from cognitive psychology, this project will test the technology-assisted face identification accuracy of humans under many varied conditions, generating vital new knowledge about face identification and the way humans use automated decision-aids. Expected outcomes include developing world first methods to improve technology-assisted face identification accuracy and creating evidence-based recommendations for effective human use of this important technology. Improving identification accuracy could significantly benefit society by reducing crime and wrongful arrests.. Scheme: Discovery Early Career Researcher Award. Field: 5204 - Cognitive and Computational Psychology. Lead: Dr Daniel Carragher