The Monetisation of Children in the Digital Games Industry. This project aims to understand the monetisation of children in the digital games industry. It will employ innovative studies of children’s experiences in freemium games; parental attitudes and strategies; participatory research with game developers; and an examination of the platform and regulatory environment that shapes game monetisation. Expected outcomes include guidelines and recommendations for parents seeking to negotiate childr ....The Monetisation of Children in the Digital Games Industry. This project aims to understand the monetisation of children in the digital games industry. It will employ innovative studies of children’s experiences in freemium games; parental attitudes and strategies; participatory research with game developers; and an examination of the platform and regulatory environment that shapes game monetisation. Expected outcomes include guidelines and recommendations for parents seeking to negotiate children’s digital play; new ethical frameworks for the design and implementation of digital games for children; and actionable advice for policymakers and practitioners. This will bring significant benefits to Australian children, parents and game developers via improvements to the design of games for children.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101275
Funder
Australian Research Council
Funding Amount
$382,440.00
Summary
Paying and playing: Assessing and regulating digital games-as-a-service . The digital games industry has turned to a service-based business model reliant on the generation of continuous user revenue. This project assesses the implications of service-based monetisation for how games are designed, consumed, and regulated, focusing on three controversial, yet insufficiently understood monetisation strategies: advertising, in-game transactions, and blockchain-based play. While promising benefit for ....Paying and playing: Assessing and regulating digital games-as-a-service . The digital games industry has turned to a service-based business model reliant on the generation of continuous user revenue. This project assesses the implications of service-based monetisation for how games are designed, consumed, and regulated, focusing on three controversial, yet insufficiently understood monetisation strategies: advertising, in-game transactions, and blockchain-based play. While promising benefit for consumers and industry, these monetisation strategies carry the potential for risks like surveillance, harmful advertising, and predatory design. Discoveries from this project will help policymakers, industry, and consumers regulate, design, and use games featuring service-based monetisation in effective and ethical ways.Read moreRead less
Archiving Australian Media Arts: Towards a method and national collection. The early years of Australian digital media arts heritage are at risk. Australians were significant contributors to the development of media arts internationally, as well as making and exhibiting work nationally, yet only a tiny portion of the digital artwork by Australian artists has made it into institutional collections. Deteriorating disks and reliance on obsolete hardware and software mean that innovative digital pre ....Archiving Australian Media Arts: Towards a method and national collection. The early years of Australian digital media arts heritage are at risk. Australians were significant contributors to the development of media arts internationally, as well as making and exhibiting work nationally, yet only a tiny portion of the digital artwork by Australian artists has made it into institutional collections. Deteriorating disks and reliance on obsolete hardware and software mean that innovative digital preservation and access solutions are needed if these artworks are to be saved. Working with key cultural institutions, this project will conserve key media art case studies from the archives of media arts organisations, and develop a best practice method for the preservation of our digital media arts heritage.Read moreRead less
Enhancing sensory perception and balance control in HMD-based VR. This project seeks to test a revolutionary new theoretical framework for understanding how we perceive our self-motion and maintain postural control when immersed in head-mounted display (HMD) virtual reality (VR). Photorealistic graphical simulations and artificial vestibular stimulation will be used to investigate how visual and non-visual information concerning self-motion is integrated in the brain. The outcomes will reveal ho ....Enhancing sensory perception and balance control in HMD-based VR. This project seeks to test a revolutionary new theoretical framework for understanding how we perceive our self-motion and maintain postural control when immersed in head-mounted display (HMD) virtual reality (VR). Photorealistic graphical simulations and artificial vestibular stimulation will be used to investigate how visual and non-visual information concerning self-motion is integrated in the brain. The outcomes will reveal how multisensory interaction influences our sensory perception and postural control during HMD VR. The knowledge gained is expected to generate new economic benefits by inspiring next-generation technologies that will optimise users' immersive experiences (e.g., virtual exploration and immersive gaming).Read moreRead less
Challenging the Bystander Effect via documentary film. This project aims to challenge the Bystander Effect. Social experiments from the 1960s have entrenched the view that in groups we fail to act to prevent harm to others in public emergencies. Film has played a significant role in promoting this theory. Drawing on an innovative screen performance method, this project is likely to generate knowledge about how bystanders can co-ordinate their actions to safely intervene; it will result in an inn ....Challenging the Bystander Effect via documentary film. This project aims to challenge the Bystander Effect. Social experiments from the 1960s have entrenched the view that in groups we fail to act to prevent harm to others in public emergencies. Film has played a significant role in promoting this theory. Drawing on an innovative screen performance method, this project is likely to generate knowledge about how bystanders can co-ordinate their actions to safely intervene; it will result in an innovative and accessible documentary. The project has the capacity to contribute to a reduction of violence in public spaces and more effective responses in the face of emergencies.Read moreRead less
Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-vi ....Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-visual services that are of great interest to international standards bodies and industry, while facilitating free interaction and augmented reality. This project will provide significant benefits to broadcast, entertainment, surveillance and health industries and position Australia as a world leader in this field.Read moreRead less
Automatic Machine Learning with Imperfect Data for Video Analysis . This project aims to propose new algorithms and technologies for constructing an efficient video analysis system, which will be aligned with Australia’s science and research priorities. Specifically, during this project, a novel network structure search method based on auto machine learning will be proposed, an unsupervised domain adaptation algorithm will be developed, and a generative data augmentation method will be construct ....Automatic Machine Learning with Imperfect Data for Video Analysis . This project aims to propose new algorithms and technologies for constructing an efficient video analysis system, which will be aligned with Australia’s science and research priorities. Specifically, during this project, a novel network structure search method based on auto machine learning will be proposed, an unsupervised domain adaptation algorithm will be developed, and a generative data augmentation method will be constructed. All of these will construct a stable and efficient deep neural network, which is able to process large size videos captured from real scenarios in high efficiencies. Various fields, such as health care service and cybersecurity, will benefit hugely from this project.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100626
Funder
Australian Research Council
Funding Amount
$393,000.00
Summary
Towards data-efficient future action prediction in the wild. This project aims to build state-of-the-art deep learning models to predict future actions in videos. The project expects to produce the next great step for machine intelligence, the potential to explore a handful of labelled examples to better understand, interpret and infer human actions. Expected outcomes of this project lay theoretical foundations for learning future action prediction in the wild scenario and build the next generat ....Towards data-efficient future action prediction in the wild. This project aims to build state-of-the-art deep learning models to predict future actions in videos. The project expects to produce the next great step for machine intelligence, the potential to explore a handful of labelled examples to better understand, interpret and infer human actions. Expected outcomes of this project lay theoretical foundations for learning future action prediction in the wild scenario and build the next generation of intelligent systems to accommodate limited supervision. This should benefit science, society, and the economy nationally through the applications of autonomous vehicles, sensor technologies, and cybersecurity.Read moreRead less