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
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
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
A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critica ....A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.Read moreRead less
Development of a computational model for the prediction of mental workload in air traffic control. The aim of the project is to develop a computational model that can measure the flow of traffic through an air sector, and predict the level of workload that an air traffic controller will experience, as well as the overall risk of breakdowns in separation between aircaft. The purpose is to develop a tool that can be used for the purposes of risk analysis and scenario planning. This is a multidisci ....Development of a computational model for the prediction of mental workload in air traffic control. The aim of the project is to develop a computational model that can measure the flow of traffic through an air sector, and predict the level of workload that an air traffic controller will experience, as well as the overall risk of breakdowns in separation between aircaft. The purpose is to develop a tool that can be used for the purposes of risk analysis and scenario planning. This is a multidisciplinary project, integrating recent models of human memory and reasoning, with formal methods for the analysis of human-computer systems. The project will advance our understanding of human memory and reasoning in complex real-world systems.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
Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements fo ....Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements followed by experimental verification is necessary. For smart cars to be accepted, the systems must be demonstrated to be reliable and to operate in a wide range of conditions.Read moreRead less
Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving. This project aims to reduce risky driving behaviours through novel augmented reality applications for three-dimensional head-up displays, making safe driving more engaging so that drivers will take less risk. Over 1 million people are killed and 50 million are seriously injured on roads each year worldwide. Risky driving behaviours (speeding and distracted driving) are major causes. This project intends to produce novel i ....Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving. This project aims to reduce risky driving behaviours through novel augmented reality applications for three-dimensional head-up displays, making safe driving more engaging so that drivers will take less risk. Over 1 million people are killed and 50 million are seriously injured on roads each year worldwide. Risky driving behaviours (speeding and distracted driving) are major causes. This project intends to produce novel in-car interaction design implementations, provide important visual design guidelines for future display technologies, and provide novel road safety interventions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101542
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Risky Gadgets to the Rescue: Designing Personal Ubicomp Devices to Foster Safer Driving Behaviours in Young Males. Young males are over-represented in road crashes. Part of the problem is their proneness to boredom, a hardwired personality factor that can lead to risky driving or distractions. This project aims to design innovative ubiquitous computing technologies that make safe driving more stimulating and pleasurable. This research will inform the future design of personal ubiquitous devices ....Risky Gadgets to the Rescue: Designing Personal Ubicomp Devices to Foster Safer Driving Behaviours in Young Males. Young males are over-represented in road crashes. Part of the problem is their proneness to boredom, a hardwired personality factor that can lead to risky driving or distractions. This project aims to design innovative ubiquitous computing technologies that make safe driving more stimulating and pleasurable. This research will inform the future design of personal ubiquitous devices that pose a threat to road safety, by replacing the stimuli from risky driving with safer stimuli and simulating risk to increase risk perception when it is actually not present. This project aims to reduce risky driving behaviours, and, in the process, advance our knowledge about the role of boredom in the road safety context.Read moreRead less
Development of fundamental perception technology and algorithms for mining safety. The project will push the boundaries of mining safety research to deliver innovative and powerful tools to understand and control the level of risk of an operation. This knowledge will be used to develop algorithms to best assess safety issues in different scenarios, to design safety procedures and to develop operator training.