Enhancing computer user productivity of integrated enterprise wide systems: an intervention study. This project addresses a critical issue in IT investment and productivity. Current theoretical models of user training and acceptance have not contributed to the effectiveness of implementing new integrated enterprise wide systems. This study will identify key indiviudal differences that predict user motivation to learn and utilize such systems under mandatory conditions. A longitudinal study in ....Enhancing computer user productivity of integrated enterprise wide systems: an intervention study. This project addresses a critical issue in IT investment and productivity. Current theoretical models of user training and acceptance have not contributed to the effectiveness of implementing new integrated enterprise wide systems. This study will identify key indiviudal differences that predict user motivation to learn and utilize such systems under mandatory conditions. A longitudinal study in two field settings will test the impact of selected interventions on task performance following training. The outcomes will inform Australian industry on models of effective implementation and provide guidance to increase the productivity of personnel using software systems.Read moreRead less
Algorithms for geometric Turán-type problems and network visualization. Recent technological advances have large data sets, in a data deluge. Some of the most critical data sets are networks; examples abound in Systems Biology, Social Network Analysis, and Software Engineering. This project aims for algorithms to construct readable pictures of these networks, and thus make the data easier for humans to understand.
A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and no ....A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and non-effective method of using temporal bones.Read moreRead less
Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems ....Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems. An interpretive study will determine how the systems can contribute to organisational learning, performance, and responsiveness to change. The outcomes will inform the designers of such systems and show Australian organisations how to gain competitive advantage by expanding their capacity to learn.Read moreRead less
Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b ....Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive f ....New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive feedback loop in the course of research into both topics.Read moreRead less
Cognitive intelligent information processing and presentation in navigation. This project aims to develop a personalised navigation system to provide effective augmented-reality (AR)-based support information, built on different navigation preference and the momentary cognitive workload of the user. This will immediately encourage users to become aware of their surroundings and continuous use will facilitate the development of navigation skills. It is expected that this research will advance sci ....Cognitive intelligent information processing and presentation in navigation. This project aims to develop a personalised navigation system to provide effective augmented-reality (AR)-based support information, built on different navigation preference and the momentary cognitive workload of the user. This will immediately encourage users to become aware of their surroundings and continuous use will facilitate the development of navigation skills. It is expected that this research will advance scientific knowledge about individual differences in navigation ability. It will significantly enhance spatial learning and alleviate the apparent decline in navigational ability experienced across the life span, benefiting the aged population in Australia by enabling them to live longer independent lives.Read moreRead less
AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by human ....AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by humans and machine agents. The tools produced are expected to provide a computational basis for human-autonomy teaming, the core of Industry 5.0, that software developers and end-users in various industries could further build upon to optimise complex decision-making to benefit humanity.Read moreRead less
Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. Th ....Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. The model and algorithms are intended to be integrated into an innovative brain-robot interface for field testing in a real-world industrial task. Translation of the outcomes to industry is expected to produce substantial economic and societal benefits through improved productivity and safety.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less