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
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
Cooperation and reciprocity at the local scale enabled by social and mobile technologies: an empirically derived theoretical framework. The project aims to build new theories, design tools and social and mobile information technologies to support sharing of resources in local communities. Designs developed through agile software development will be built in communities to support new forms of community communication, agile ride sharing and distributed energy generation and use.
Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will ....Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will remain at the centre of these systems. The technology and algorithms developed in this project will efficiently structure information exchange between humans and sensor networks. Establishing Australian leadership in this fast-evolving high-technology field will spur growth and job creation.Read moreRead less
Designing digital aquatic play to foster Australians’ engagement with water. From the beach to the pool, aquatic play is key to Australians’ quality of life and advances physical, mental and social wellbeing. This project harnesses our increasing use of interactive technology (such as wearables) to develop the world’s first design theory on interactive aquatic play. The project creates and evaluates three inspirational aquatic play prototypes, advancing confidence in water skills, self-expressio ....Designing digital aquatic play to foster Australians’ engagement with water. From the beach to the pool, aquatic play is key to Australians’ quality of life and advances physical, mental and social wellbeing. This project harnesses our increasing use of interactive technology (such as wearables) to develop the world’s first design theory on interactive aquatic play. The project creates and evaluates three inspirational aquatic play prototypes, advancing confidence in water skills, self-expression through movement and employment of safe practices to enrich Australian’s physical engagement with water. Digital media developers, government interventions and wellbeing groups can use the derived design knowledge to leverage digital technology and aquatic interactivity to foster Australians’ physical engagement with water.Read moreRead less
An Empirically Derived Experimentally Validated Framework for Interactions in Information Environments. This project will investigate and design ways of interacting with the information infrastructure that maintain natural social interactions, take advantage of physical space and utilise our extensive human abilities to recognise and manipulate physical objects.
Expected outcomes include:
? a theoretical framework that describes the range of possible interactions that mediate information b ....An Empirically Derived Experimentally Validated Framework for Interactions in Information Environments. This project will investigate and design ways of interacting with the information infrastructure that maintain natural social interactions, take advantage of physical space and utilise our extensive human abilities to recognise and manipulate physical objects.
Expected outcomes include:
? a theoretical framework that describes the range of possible interactions that mediate information between the physical and virtual worlds.
? a prototype instrumented information environment that demonstrates and validates naturalistic information transactions identified in the framework.
This research is highly innovative in its field. It will use an iterative cycle of video observation, interaction analysis, user-centred device design, deployment and evaluation.
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Affective sensing technology for the detection and monitoring of depression and melancholia. This project will develop reliable and affective sensing technology and evaluate it as an objective measure of depressive disorders; a leading cause of disability worldwide. Outcomes will significantly support and aid clinicians in their diagnosis and treatment, thus providing a major breakthrough with significant research, healthcare and commercial possibilities.
Sociophysical Interactions: understanding the role of social and tangible technologies in maintaining good habits into old age. How can technology help us 'age well'? The project will study, design and evaluate novel information systems that integrate and support social engagement and physical activity in order to build foundational knowledge about these technologies and maintain the opportunities for social engagement and physical activity in our ageing population.
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
An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping technique ....An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping techniques. The principal anticipated outcome of the project is a model for how to enhance creative work through interacting with AI, an opportunity that is currently largely unexplored. Benefits will include an increase in the rate of creative outputs, both within the creative industries and throughout the economy.Read moreRead less