Interacting with visualisations of extremely large graph structures on large displays. The latest technological progressions have delivered very large data sets that can be modelled as graphs or networks. Examples include: social networks, biological data, and software structures. This project will develop techniques to allow users to visualise the graphs in the entirety and directly interact with data.
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
Acquiring physical skills: exploiting games technology to teach sign language. This project will investigate if games technology can be used to teach deaf children’s parents sign language. The learner would create a sign, the system would assess the accuracy of the sign and provide feedback to improve learning. If successful, the system would provide an inexpensive alternative to learning sign language.
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.
Discovery Early Career Researcher Award - Grant ID: DE190101151
Funder
Australian Research Council
Funding Amount
$398,000.00
Summary
Designing augmented eating interfaces to promote mindful eating. This project aims to develop and test novel augmented eating interfaces in order to address the contradiction between the concept of mindful eating (no distractions) and the reality of screen cultures (eating with screens). Eating while watching screens can be problematic because it can cause overeating, which can manifest into bigger health concerns such as obesity and heart disease. This project expects to generate new knowledge ....Designing augmented eating interfaces to promote mindful eating. This project aims to develop and test novel augmented eating interfaces in order to address the contradiction between the concept of mindful eating (no distractions) and the reality of screen cultures (eating with screens). Eating while watching screens can be problematic because it can cause overeating, which can manifest into bigger health concerns such as obesity and heart disease. This project expects to generate new knowledge in the field of human-food interaction. It presents two new augmented eating systems and a socio-technological study of these systems in use within Australian households. The expected outcomes include a framework on how to design interactive systems that encourage mindful eating without compromising the pleasures of screen-based media and the eating experience, and a greater theoretical understanding of how to support mindful eating in everyday practice.Read moreRead less
Automated internet warnings to prevent viewing of minor-adult sex images. Since the advent of the internet and digital cameras, the market for child exploitation material (CEM) has boomed. This project aims to explore how the visual appearance of warning messages influences internet users. It plans to conduct a randomised controlled experiment with naïve participants on a real-life website to test the effectiveness of messages designed to discourage viewers of legal ‘barely legal’ pornography. I ....Automated internet warnings to prevent viewing of minor-adult sex images. Since the advent of the internet and digital cameras, the market for child exploitation material (CEM) has boomed. This project aims to explore how the visual appearance of warning messages influences internet users. It plans to conduct a randomised controlled experiment with naïve participants on a real-life website to test the effectiveness of messages designed to discourage viewers of legal ‘barely legal’ pornography. It is anticipated that results will assist policing efforts by indicating whether warnings can be used to dissuade first-time CEM viewers and whether differences exist between harm or deterrent-focused messages.Read moreRead less
Software engineering of people-oriented technologies and services. This project will use role, goal, and activity modelling to improve technologies that enable older people in their homes to communicate with loved ones and support networks. The models will be evaluated to determine whether built technologies are indeed meaningful and helpful for the increasing number of older adults.
Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contr ....Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contributors through sensing and active sharing, as well as novel interaction and visualisation approaches to aid in the analysis of the resulting data. The project intends to benefit both the insurers and the insured by making non-traditional data sources available for risk assessment and prevention.Read moreRead less
Flexible user-guided network layout for biomedical applications. This project will develop techniques for automatic layout of biological network diagrams, allowing users to guide the layout while satisfying any required placement constraints and drawing conventions. As part of the project, these methods will be integrated into several real-world systems biology applications for network browsing and authoring.
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