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
Form and motion interactions in human motion perception. Vision works efficiently to detect the motion of both ourselves and other objects by combining motion and pattern information. This project will determine how the visual system achieves this and also create a detailed model that will be directly applicable to areas ranging from clinical neuropsychology to the analysis and design of visual displays.
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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Perceptual and psychosocial factors associated with individual differences in face identity and face expression processing. What makes one person better or worse than another at recognising faces, or the emotions displayed in those faces? This project examines which aspects of visual perception contribute to these abilities, and their associations with problems such as debilitating social anxiety and young children's anti-social behaviour.
The evolution of light detection and its impacts on early vertebrate evolution. The eye is a complex organ crucial for survival. Tracing the evolution of the eye will not only provide basic concepts of how building visual complexity is achieved in nature but also enhance the understanding of the selection pressures driving the radiation of early vertebrates.