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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Discovery Early Career Researcher Award - Grant ID: DE210100357
Funder
Australian Research Council
Funding Amount
$427,320.00
Summary
What determines your face identification accuracy? Accurate face identification underpins normal social functioning and important identity verification procedures in society, government and the justice system. However, there is little understanding of the cognitive processes that give rise to individual differences in face identification. This project aims to develop a new cognitive model that characterises how holistic and part-based processing combine to determine individual differences in fac ....What determines your face identification accuracy? Accurate face identification underpins normal social functioning and important identity verification procedures in society, government and the justice system. However, there is little understanding of the cognitive processes that give rise to individual differences in face identification. This project aims to develop a new cognitive model that characterises how holistic and part-based processing combine to determine individual differences in face identification. Expected benefits include advancing knowledge of human face perception, and evidence-based training and personnel selection tools to improve decision accuracy, help police prevent crime and terrorism, and avoid wrongful conviction of innocent suspects.Read moreRead less
Improving human perception of low resolution face images. Low-resolution face images occur in several settings that require a human observer to identify the face or its expression. For example, a crime eyewitness may have seen the perpetrator's face blurred by distance. This project aims to improve low-resolution face perception. Previous approaches have attempted only to improve general image visibility. Here, the novel theoretical idea is to alter the face's structure, tapping knowledge about ....Improving human perception of low resolution face images. Low-resolution face images occur in several settings that require a human observer to identify the face or its expression. For example, a crime eyewitness may have seen the perpetrator's face blurred by distance. This project aims to improve low-resolution face perception. Previous approaches have attempted only to improve general image visibility. Here, the novel theoretical idea is to alter the face's structure, tapping knowledge about higher-level face coding. Manipulations are caricaturing and whole-then-part alternation, as derived from face-space and holistic processing theories, respectively. Effects of viewpoint and own-versus-other race faces are expected to test practical generalisability of the new methods, and thus refine theory.Read moreRead less
Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border se ....Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border security, criminal investigations and the justice system. Expected outcomes include an integrated framework for person identification describing the cognitive mechanisms that link faces to surrounding visual context and the viewer’s background knowledge. Benefits in forensic, security and legal settings are expected.Read moreRead less
Understanding and responding to online child sexual exploitation offenders. The development of online communication technologies has facilitated a growth in online child sexual exploitation over the past two decades. Using a data-linkage framework, this project aims to enhance understanding of online child sexual exploitation, the legal frameworks surrounding this issue, and the unique characteristics, risks and needs of online sexual offenders. Expected outcomes include increased knowledge to i ....Understanding and responding to online child sexual exploitation offenders. The development of online communication technologies has facilitated a growth in online child sexual exploitation over the past two decades. Using a data-linkage framework, this project aims to enhance understanding of online child sexual exploitation, the legal frameworks surrounding this issue, and the unique characteristics, risks and needs of online sexual offenders. Expected outcomes include increased knowledge to inform current law enforcement and sentencing practices and the development of risk assessment and intervention protocols for clinical use with online offenders. This should increase evidence-based practice with online sexual offenders and assist in preventing the sexual exploitation of children online and in the community.Read moreRead less