Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain r ....Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain relevance feedback. The outcome will be a prototype system useful to business and industry though to guide our thinking we will use issues in constructing a quality digital library collection as a sounding board.
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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
Designing for scale: understanding the value of information and communication technologies for individuals, communities and movements. This project will build an understanding of how we can design information systems to have a positive, significant impact at different human scales: individual, community and society at large. Using software that advises individuals on how much water to use in their gardens, the project will question how this vehicle can effect large-scale change in our communitie ....Designing for scale: understanding the value of information and communication technologies for individuals, communities and movements. This project will build an understanding of how we can design information systems to have a positive, significant impact at different human scales: individual, community and society at large. Using software that advises individuals on how much water to use in their gardens, the project will question how this vehicle can effect large-scale change in our communities.Read moreRead less
Sub-collection retrieval: understanding and improving search engines. Search engines have become essential in many parts of daily life. This project aims to improve the accuracy of search engines, increasing the productivity of information seeking tasks and reducing frustration with poor search answers, thus improving the current gateway to the world of information.
Effective summaries for search results. All information retrieval systems return a search result page that lists short summaries of each retrieved document. This project will transform search effectiveness by taking a new approach to the understanding, design, and construction of such summaries. Recent work has showed that users fail to click on up to 50 per cent of relevant documents because of poor summary quality. To enhance search result summaries, this project will model how users determine ....Effective summaries for search results. All information retrieval systems return a search result page that lists short summaries of each retrieved document. This project will transform search effectiveness by taking a new approach to the understanding, design, and construction of such summaries. Recent work has showed that users fail to click on up to 50 per cent of relevant documents because of poor summary quality. To enhance search result summaries, this project will model how users determine document relevance when inspecting a summary; it will exploit a previously untapped source of information to dramatically improve summary quality; and, it will create a new approach to retrieving relevant documents by considering their summarisability.Read 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.
Discovery Early Career Researcher Award - Grant ID: DE180100315
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Social attentive user interfaces for the age of interruption. This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their att ....Social attentive user interfaces for the age of interruption. This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their attention, new methods for attention estimation and classification, and novel systems for e-learning and work productivity that demonstrate these new capabilities. As a result, this project will provide the benefit of enabling system to no longer be blind to users’ attentional, social, and cognitive contexts.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101416
Funder
Australian Research Council
Funding Amount
$338,446.00
Summary
Broadening horizons: using curiosity to diversify behaviour. This project aims to explore how interactive systems can encourage their users to try new things. This is made possible by recent developments in artificial intelligence that can estimate what will make users curious. This project expects to generate new knowledge about how interactive technology can encourage diverse behaviour by stimulating curiosity. Expected outcomes include a framework for how to design interactive systems that en ....Broadening horizons: using curiosity to diversify behaviour. This project aims to explore how interactive systems can encourage their users to try new things. This is made possible by recent developments in artificial intelligence that can estimate what will make users curious. This project expects to generate new knowledge about how interactive technology can encourage diverse behaviour by stimulating curiosity. Expected outcomes include a framework for how to design interactive systems that encourage users to try new things, and a greater theoretical understanding of how to diversify user behaviour.Read moreRead less
Advancing Australia’s hospitality industry through interactive food. This project aims to develop the first framework for the design of interactive food to advance Australia’s hospitality industry. The project expects to co-develop with restaurateurs and chefs interactive sounds, smells and tastes technologies that enable them to create novel eating out experiences and evaluate diners’ reactions. The expected outcome is an easy-to-use toolkit (comprising a software suite and low-cost sensors) th ....Advancing Australia’s hospitality industry through interactive food. This project aims to develop the first framework for the design of interactive food to advance Australia’s hospitality industry. The project expects to co-develop with restaurateurs and chefs interactive sounds, smells and tastes technologies that enable them to create novel eating out experiences and evaluate diners’ reactions. The expected outcome is an easy-to-use toolkit (comprising a software suite and low-cost sensors) that can be readily incorporated into hospitality operations. This should provide significant benefits, such as enticing people to go out and visit restaurants, supporting some of Australia’s 600,000 hospitality jobs while fostering Australia’s innovative food culture.Read moreRead less
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