Enhancing the content and experience of Interactive Childrens Television. Interactive television (iTV) as a participatory, on-demand communication provides a unique opportunity to significantly engage, entertain and educate preschool children. Through considerable industry partner collaboration and participation, this project will evaluate three distinct interactive options produced from selected children's television programs with proven success in Australia. Usability studies employing a vari ....Enhancing the content and experience of Interactive Childrens Television. Interactive television (iTV) as a participatory, on-demand communication provides a unique opportunity to significantly engage, entertain and educate preschool children. Through considerable industry partner collaboration and participation, this project will evaluate three distinct interactive options produced from selected children's television programs with proven success in Australia. Usability studies employing a variety of surveillance techniques will evaluate content design and user response. Children's viewing habits will be evaluated within a social context (the home) and a mobile lab setting using qualitative and quantitative assessment. The results will identify effective ways to produce meaningful interactivity and will encourage future industry based research.Read moreRead less
Special Research Initiatives - Grant ID: SR0354753
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communic ....MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communications and demonstrations online and on-location. Progressively, MESH participants will discover existing harmonies whilst also inventing new languages and protocols leading to breakthroughs in cross-disciplinary collaboration and innovation. MESH encourages a 'paradigm shift' in digital research, realising the extraordinary potential that is ready but latent across Australia's arts and sciences.Read moreRead less
Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound ....Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound or time-compressed speech while participants perform specific ongoing tasks. Anticipated outcomes are safer, more effective and better tolerated ways of monitoring processes than conventional auditory alarms. Results apply to healthcare, transportation and process industries.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100211
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
The Big Australian Speech Corpus: An audio-visual speech corpus of Australian English. Contemporary speech science and technology are driven by the availability of large speech corpora. While audio databases exist for languages spoken in America, Europe and Japan, there is currently no large auditory-visual database of spoken language, and certainly not one for Australian English. Here we will establish the Big Australian Speech Corpus, which will support a speech science research and developmen ....The Big Australian Speech Corpus: An audio-visual speech corpus of Australian English. Contemporary speech science and technology are driven by the availability of large speech corpora. While audio databases exist for languages spoken in America, Europe and Japan, there is currently no large auditory-visual database of spoken language, and certainly not one for Australian English. Here we will establish the Big Australian Speech Corpus, which will support a speech science research and development using Australian English and facilitate the development of Australian speech technology applications from automatic speech recognition and text-to-speech synthesis used in taxi and other ordering services, to hearing prostheses and talking head aids for learning-impaired children, and a range of security and forensic applications.Read moreRead less
An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an a ....An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.Read moreRead less
ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial ....ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial concepts into statistical analysis and modelling, powerful visualisation of information, and the building spatial decision support systems, to provide an improved evidence base and better informed decision-making to address the significant challenges facing Australia's people and its places.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
The globalisation of the resources sector(s) in Australian cities. This project aims to understand how and why resources-related service firms cluster in Brisbane, Melbourne, Perth, and Sydney. Maintaining Australia’s competitive position in global affairs depends on delivering innovative services in established national areas such as mining, energy and agriculture. This project will approach Australian cities’ economies from a ‘global’ perspective using social network analysis, to understand ho ....The globalisation of the resources sector(s) in Australian cities. This project aims to understand how and why resources-related service firms cluster in Brisbane, Melbourne, Perth, and Sydney. Maintaining Australia’s competitive position in global affairs depends on delivering innovative services in established national areas such as mining, energy and agriculture. This project will approach Australian cities’ economies from a ‘global’ perspective using social network analysis, to understand how local firm clusters are internationally networked through branch office and affiliate corporate linkages. This project seeks to better direct urban and economic policy by positioning these sectors to deal with the challenges of the 21st century.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100164
Funder
Australian Research Council
Funding Amount
$310,000.00
Summary
A facility for ex-vivo molecular imaging. The facility will allow a consortium of Australian researchers to create an integrated facility for imaging biological receptors in tissue, bringing together laboratory, radiochemistry and imaging expertise. Digital data at each site will be able to be viewed and analysed remotely.
Group A Streptococcal Human Challenge Study: Accelerating Vaccine Development
Funder
National Health and Medical Research Council
Funding Amount
$2,018,741.00
Summary
Infection with group A streptococcus (GAS) is a major cause of morbidity and mortality worldwide, including in the Aboriginal population of Australia. Concerted efforts for vaccine development have been hampered by the absence of a suitable animal model. To address this critical knowledge gap we propose to develop a controlled human infection model of GAS infection. This model will provide a direct pathway for the future appraisal of novel GAS vaccines.