An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.
Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to ....Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to capture their complex interaction with the data they view, probability models to accumulate information to identify their underlying preferences and extract relationships to find possible ‘hidden variables’ which may help explain and leverage the user's choices.Read moreRead less
Cognitive intelligent information processing and presentation in navigation. This project aims to develop a personalised navigation system to provide effective augmented-reality (AR)-based support information, built on different navigation preference and the momentary cognitive workload of the user. This will immediately encourage users to become aware of their surroundings and continuous use will facilitate the development of navigation skills. It is expected that this research will advance sci ....Cognitive intelligent information processing and presentation in navigation. This project aims to develop a personalised navigation system to provide effective augmented-reality (AR)-based support information, built on different navigation preference and the momentary cognitive workload of the user. This will immediately encourage users to become aware of their surroundings and continuous use will facilitate the development of navigation skills. It is expected that this research will advance scientific knowledge about individual differences in navigation ability. It will significantly enhance spatial learning and alleviate the apparent decline in navigational ability experienced across the life span, benefiting the aged population in Australia by enabling them to live longer independent lives.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Cross-Community Information Systems: Understanding Technology-Practice Fit in Healthcare. This project addresses unsolved issues of usability of e-health information systems across diverse stakeholder communities that need to coordinate to deliver the expected revolution in patient-centred health care. The project will help realise the Nation's large investment in e-health by improving the likelihood of system acceptance, thus making a significant contribution to facilitating the important insti ....Cross-Community Information Systems: Understanding Technology-Practice Fit in Healthcare. This project addresses unsolved issues of usability of e-health information systems across diverse stakeholder communities that need to coordinate to deliver the expected revolution in patient-centred health care. The project will help realise the Nation's large investment in e-health by improving the likelihood of system acceptance, thus making a significant contribution to facilitating the important institutional transformations expected of these systems. The timeliness, depth and breadth of the study will yield outcomes that will enhance Australia's research reputation. This project directly addresses the 'smart information use' and 'promoting and maintaining good health' national research prioritiesRead moreRead less
Understanding the impact of enterprise system use on system performance. To optimise organizational benefits, resource intensive enterprise systems must be appropriately used by all user cohorts. This study investigates the impact of system-use on system success. System-use patterns derived for all key user cohorts across the lifecycle phases will create management matrices to assist organizations maximise system-use.
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
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
Humanising the Convergence of Information and Communication Technology. The convergence of Information and Communication Technologies (ICTs) enables delivery of multiple services by a single mobile device. Frequently ICT convergence is driven by the capabilities of the technology. However, if technologies are to be appropriated, that is enter into long-term use, they must be compatible with that use.
The University of Melbourne and Novell will establish a way of identifying opportunities f ....Humanising the Convergence of Information and Communication Technology. The convergence of Information and Communication Technologies (ICTs) enables delivery of multiple services by a single mobile device. Frequently ICT convergence is driven by the capabilities of the technology. However, if technologies are to be appropriated, that is enter into long-term use, they must be compatible with that use.
The University of Melbourne and Novell will establish a way of identifying opportunities for ICT convergence based on an understanding of appropriation. Our research project will examine the social and personal use of mobile ICTs by young people 16 to 22 years as the basis for understanding the human drivers of convergence.
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Automated Interaction Technologies for Mobile Hand-held Devices. This project is concerned with developing intelligent technologies that support human interaction through handheld devices, connected to wireless digital networks. Intelligent software assistants running on these devices will interact with one another in order to coordinate the activities of multiple users. Such automated coordination may facilitate scheduling of meetings, collaboration among different members of a team, and negoti ....Automated Interaction Technologies for Mobile Hand-held Devices. This project is concerned with developing intelligent technologies that support human interaction through handheld devices, connected to wireless digital networks. Intelligent software assistants running on these devices will interact with one another in order to coordinate the activities of multiple users. Such automated coordination may facilitate scheduling of meetings, collaboration among different members of a team, and negotiating conflicts that may arise between the activities of different connected users. This will enable context-dependent task support and coordination of workers involved in industrial applications involving mobility and dynamism.Read moreRead less