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
Explanation in artificial intelligence: a human-centred approach. This project aims to produce validated methods for creating human-centred explanations of decisions made by artificial intelligence (AI). Trial deployment of AI devices has resulted in the requirement for explanations of how AI makes decisions, where developed AI systems gave insufficient consideration of how decision logic would be explained to people. This project positions 'explainable AI' within the intersection of human-compu ....Explanation in artificial intelligence: a human-centred approach. This project aims to produce validated methods for creating human-centred explanations of decisions made by artificial intelligence (AI). Trial deployment of AI devices has resulted in the requirement for explanations of how AI makes decisions, where developed AI systems gave insufficient consideration of how decision logic would be explained to people. This project positions 'explainable AI' within the intersection of human-computer interaction, computer science and cognitive psychology. The expected outcomes of this project are new methods, models and algorithms for explaining different types of AI models to people. This project should result in improved understanding and trust of decisions made by AI systems, mitigating some societal concerns about AI-based decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100858
Funder
Australian Research Council
Funding Amount
$344,896.00
Summary
Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to eff ....Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to effectively engage human in robot’s instruction. Expected outcomes include new methods for trainers to assess robot learning, and to improve their engagement and feedback. This should provide significant human-robot interaction benefits for accessibility of learning robots.Read moreRead less
Aboriginal remote narrowcast TV and the audio-visual archive. This project aims to investigate the world’s best practices in community narrowcast digital TV and contemporary methods for the long-term storage of both digital and analogue audio-visual cultural materials. This will assist in the long-term preservation of Indigenous languages and culture and will investigate whether health promotion and other messages in Aboriginal languages community impacts on community well-being.
The unwired horizon: clouded and mobile delivery platforms for early collections of Yolngu cultural heritage in Arnhem Land, Australia. Led by the Yolngu Elder and researcher Joseph Gumbula, this project will develop a clouded database engine and networked applications for streaming digitised heritage resources in ways appropriate for Indigenous peoples, particularly those in remote communities. Trial content will be selected from records of Gumbula's own heritage dating from 1924.
Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous ....Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous and indigenous Australians by development of a user-friendly computer-based decision support tool for doctors. Once established, this tool will have applications in other fields of health care where support is needed to make informed dosing decisions for critical medications and have the potential to reduce financial and social impacts of chronic disease.Read moreRead less
Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities ....Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities and toolkits to facilitate Science, Technology, Engineering and Mathematics for all. Project benefits include opportunities for people with Intellectual Disability to participate in meaningful recreational or work-focused eMaking, and changing community attitudes through shared eMaking participation.Read moreRead less
Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implement ....Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework. Given the challenges facing rural and regional Australia, it is essential that communities and decision-makers have the information and resources to make informed and sustainable decisions. While there is a plethora of data that can provide this evidence-base, it is often complex, disorganised and inaccessible to those who need it. Hence, to facilitate smart information use, this research develops and implements a Rural Statistical Sustainability Framework and decision support modelling tool that integrates environmental, economic and social data into a single user-friendly source. This will provide a platform for evidence-based decision-making that will lead to a sustainable future for rural and regional Australia.Read moreRead less
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environm ....Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environment will help medical teams use documented and non-documented knowledge when more than one medical condition is present and no formal guidelines are applicable. The project advances theories of knowledge in groups and is extendable to any deliberations on complex problems.Read moreRead less