Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road au ....Improving novice drivers' speed and hazard management. The aim of the study is to extend the evidence-based approach we have developed for speed management (cognitive integration speed management training) to hazard management, thereby developing cognitive integration hazard management training for young drivers. Hence, this study is specifically designed to curb the alarming trend in young driver fatalities on Australian roads. The results of the research will provide clear direction to road authorities and driver training providers as to effective training strategies to improve young driver training, and ultimately improve road safety with this vulnerable population.Read moreRead less
Just add noise: the benefits of neural and stimulus noise for perception. This project aims to improve visual perception by maximising the beneficial effects of neural and stimulus noise, i.e. stochastic resonance (SR). SR challenges conventional thinking that noise decreases performance. We expect to reveal the underlying mechanisms using experimental and computational approaches. This project is expected to generate unprecedented insights into how noise influences brain processing, leading to ....Just add noise: the benefits of neural and stimulus noise for perception. This project aims to improve visual perception by maximising the beneficial effects of neural and stimulus noise, i.e. stochastic resonance (SR). SR challenges conventional thinking that noise decreases performance. We expect to reveal the underlying mechanisms using experimental and computational approaches. This project is expected to generate unprecedented insights into how noise influences brain processing, leading to a possible re-evaluation of the function of noise in the brain. Expected outcomes include protocols to optimise human performance through SR, and an augmented reality set-up to apply SR to real-world settings. Economic and social benefits include the ability to individually optimise performance in visual tasks using noise.Read moreRead less
Voices of Regional Australia: The linguistic patterning of local attachment. This project aims to investigate language and social dynamics among regional Australians, who, despite representing one third of the population, have been often neglected in the research to date. The project expects to generate new knowledge around regional attachment and the impact that has on speech patterns, adapting for the first time recently developed international metrics to the Australian context. Expected outco ....Voices of Regional Australia: The linguistic patterning of local attachment. This project aims to investigate language and social dynamics among regional Australians, who, despite representing one third of the population, have been often neglected in the research to date. The project expects to generate new knowledge around regional attachment and the impact that has on speech patterns, adapting for the first time recently developed international metrics to the Australian context. Expected outcomes include a better understanding of models of language change across urban and rural areas, and a novel dataset recording the stories of regional Australians, and in particular, their experiences facing bushfire. This should provide significant benefits as a record of life, language and community in regional Australia.Read moreRead less
How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the m ....How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.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
Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion ....Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion science, as well as deliver tangible outcomes, such as new psychological tests to better understand human social connection. This should provide significant benefits, by improving emotion communication and offering a new perspective on how artificial intelligence can best serve human social needs.
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Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less