Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. ....Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. The algorithms developed in the project will help security analysts to monitor illegal behaviour such as money laundering and terrorist activities, help biologists understand key biological systems, and help engineers to understand large 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.
CoopEcoSafe: a new cooperative, green and safe driving system. Road transport plays a vital role in our economy but generates huge costs in road trauma and greenhouse gases. Eco-driving has been trialed as a cost-effective approach to reducing fuel consumption, but little research has examined its effects on safety. This research brings together disciplines of road safety, psychology and engineering to address the fundamental question: how can mobility be greener while being safer? It develops: ....CoopEcoSafe: a new cooperative, green and safe driving system. Road transport plays a vital role in our economy but generates huge costs in road trauma and greenhouse gases. Eco-driving has been trialed as a cost-effective approach to reducing fuel consumption, but little research has examined its effects on safety. This research brings together disciplines of road safety, psychology and engineering to address the fundamental question: how can mobility be greener while being safer? It develops: a new theoretical model that optimises environmental and safety outcomes; new persuasive in-vehicle Human Machine Interface supported by cooperative Intelligent Transport System; and, comprehensive benefits evaluation. This research will bring major improvements to both road safety and energy use. Read moreRead less
Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algor ....Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algorithms developed in the project will help security analysts to detect abnormal behavious such as money laundering, help biologists understand protein-protein interaction networks, and help engineers to understand large software systems.Read moreRead less
Efficient and Effective Interactive Visualization of Large Graphical Information Spaces. The expected outcome will change ways of interacting with and thinking about information processing for all information systems. As Australian companies became larger and more global, the ability to view and analyse the growing amount of company information becomes crucial to aspects as varied as trouble shooting or new ventures and eventually to the very viability of the organization itself. The expected ou ....Efficient and Effective Interactive Visualization of Large Graphical Information Spaces. The expected outcome will change ways of interacting with and thinking about information processing for all information systems. As Australian companies became larger and more global, the ability to view and analyse the growing amount of company information becomes crucial to aspects as varied as trouble shooting or new ventures and eventually to the very viability of the organization itself. The expected outcome will enhance this ability by providing an optimised global view and an effective navigation scheme of large graphical information spaces. This will attract leading international IT companies to use it for developing cutting-age tools, and will enhance significantly the capacity and international standing of Australian IT industry.Read moreRead less
An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied t ....An Integrative and Interactive Approach for Co-estimation of Multiple Sequence Alignment and Phylogeny Reconstruction. In this project innovative IT methods will be developed to assist biologists to solve complex and important biological problems. Many important applications in computational biology need very accurate and reliable tools for multiple sequence alignment and phylogeny reconstruction. Unfortunately, current existing tools are unreliable and are prone to serious errors when applied to large and divergent biological sequences. The success of this project will not only make significant contribution to the relevant research fields, but also help achieve goals in certain real-life biological research projects which are unique and important to Australia.Read moreRead less
Co-designing Innovations in Digital Storytelling with Older Adults. This project aims to investigate how emerging technologies can be leveraged to provide innovative ways for older adults to create and share their life stories to foster social wellbeing. Later life can be a time of considerable change, leaving people feeling disconnected from the people, places, and life events that are important to them. Autobiographical storytelling can help create links with one's past, but little is known ab ....Co-designing Innovations in Digital Storytelling with Older Adults. This project aims to investigate how emerging technologies can be leveraged to provide innovative ways for older adults to create and share their life stories to foster social wellbeing. Later life can be a time of considerable change, leaving people feeling disconnected from the people, places, and life events that are important to them. Autobiographical storytelling can help create links with one's past, but little is known about how technologies such as digital games and virtual reality can be used to enable older adults to share stories about their lives in a way that supports ongoing social interactions. This project is expected to co-design new forms of digital storytelling to improve social wellbeing of older adults. Read moreRead less
Coach My Ride: Mentorable Interfaces to support Older Australians' Mobility. This project aims to co-design new interfaces to support older Australians to collaboratively learn the use of automated vehicles. We will seek to understand the needs, expectations, and challenges of urban and rural residents, and the peer support strategies they deploy to learn technology. Mobility is key to the wellbeing of older people, but automated vehicles that are too complex will fail to deliver their promise o ....Coach My Ride: Mentorable Interfaces to support Older Australians' Mobility. This project aims to co-design new interfaces to support older Australians to collaboratively learn the use of automated vehicles. We will seek to understand the needs, expectations, and challenges of urban and rural residents, and the peer support strategies they deploy to learn technology. Mobility is key to the wellbeing of older people, but automated vehicles that are too complex will fail to deliver their promise of independent ageing. Outcomes will be a new theory of collaborative learning and new mentorable interfaces to allow older adults to mentor each other to access and use new mobility solutions. This will contribute to narrow the digital and mobility gap improving the independence, safety and wellbeing of ageing Australians.Read moreRead less
Designing distanced intergenerational interaction with tangible technology. Older people and their young relatives/grandchildren who are geographically distanced cannot currently experience closeness in tangible ways, which are the natural ways they would play and build relationships in “real” life. Enabling this connection would have positive impacts for both groups, and two types of technologies – Mixed Reality and Tangibles - can be explored to allow us to understand how to do this. We will d ....Designing distanced intergenerational interaction with tangible technology. Older people and their young relatives/grandchildren who are geographically distanced cannot currently experience closeness in tangible ways, which are the natural ways they would play and build relationships in “real” life. Enabling this connection would have positive impacts for both groups, and two types of technologies – Mixed Reality and Tangibles - can be explored to allow us to understand how to do this. We will develop approaches to distanced tangible intergenerational interaction which are designed specifically to increase intergenerational closeness and to be innovative and subtle so that they fit seamlessly into the lives of older people and young children.Read moreRead less
Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automa ....Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automated vehicles, new methodology for cooperative behaviour research, and enhanced research capacity. The expected significant benefits are for automated systems to become more predictable, acceptable, readable and safer to use by everyday people.Read moreRead less