Improving Interactions for Digital Browsing of Large Collections. Browsing for information is an established and fundamental part of how people find the knowledge that they need. However, our current understanding of how browsing succeeds or fails is poor. This is because we have limited empirical data, and until recently, the available technologies to create detailed data on what people actually look at and when were very limited. As a result, digital browsing methods have been almost universal ....Improving Interactions for Digital Browsing of Large Collections. Browsing for information is an established and fundamental part of how people find the knowledge that they need. However, our current understanding of how browsing succeeds or fails is poor. This is because we have limited empirical data, and until recently, the available technologies to create detailed data on what people actually look at and when were very limited. As a result, digital browsing methods have been almost universally inferior to real-world counterparts. Given the lack of fundamental theories to inform design, this is unsurprising. After creating a detailed and systematic account of user behaviour in browsing, we will create novel designs that will accelerate the discovery of information, particularly for innovative work.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
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Air Traffic Controller Competencies and Selection. This project targets a National Priority area Safeguarding Australia, Priority Goal: Critical Infrastructure. The partner organization Airservices Australia is a key player in the effective operation of the Australian aviation industry which is a critical and strategic component of the national transport infrastructure. Air Traffic Controllers (ATCs) provide the nation with aviation services that require them to perform all tasks without error. ....Air Traffic Controller Competencies and Selection. This project targets a National Priority area Safeguarding Australia, Priority Goal: Critical Infrastructure. The partner organization Airservices Australia is a key player in the effective operation of the Australian aviation industry which is a critical and strategic component of the national transport infrastructure. Air Traffic Controllers (ATCs) provide the nation with aviation services that require them to perform all tasks without error. The project will help develop the standards of excellence of Australian ATCs, contribute to internationalizing Australian human factors literature, develop the knowledge and skills of the Airservices staff and research team, and assist RAF and civil ATC collaboration.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101079
Funder
Australian Research Council
Funding Amount
$426,241.00
Summary
Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks ....Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks while driving non-automated and semi-automated vehicles. The outcomes will underpin the development of new technologies to reduce the potential adverse effects of these distractions and thus reduce deaths and serious injuries, representing significant cost savings to the health system and the community.Read moreRead less
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
Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how ind ....Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how individuals learn to drive, changes in skill and attitudes as well as the influence on crashes and offences. It is intended that a second parallel study will adapt the intervention for Indigenous Australians and examine the effectiveness of this adaptation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101061
Funder
Australian Research Council
Funding Amount
$373,697.00
Summary
Personal safety in the city: design solutions for after dark. The research will provide insights into the potential for mobile technology to be designed to enhance personal safety in urban environments at night. It will do so by identifying individual personal harm reduction and safety strategies, and examining the opportunities to use technology to amplify these strategies.
A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less