Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determi ....Unleashing the potential of VR: reducing sickness in head-mounted displays. Virtual reality (VR) is a breakthrough technology with a host of applied uses. Unfortunately, many people become sick when using head-mounted displays (HMDs). Our project proposes, and aims to test, a new theory of this cybersickness. We intend to quantify the sensory conflicts produced by HMD VR for the first time and measure their effects on perception, eye-movements, balance and well-being. The project will 1) determine the causes of, and conditions responsible for, cybersickness; and 2) offer practical information on how to prevent it. These outcomes are expected to directly benefit, and greatly improve HMD use in, fields ranging from defence, education, entertainment, gaming, medicine, real estate, simulation training and tourism.Read moreRead less
Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less