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
Productivity and work-life balance in technology-enabled virtual work environments. This project examines the impact of technology-enabled virtual work environments on the productivity and work-life balance of professional knowledge workers. Guidelines will be developed that improve organisational and individual outcomes for professional knowledge workers who use technology extensively in their interactions with others.
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.
Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus ....Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus a wider adoption. An examination of users' attitude towards personalised content and concerns about data privacy provides insights to Australian legislation in relation to telemarketing and data-driven marketing. National benefits will stem from a balance between telemarketing efficiency and users' benefits.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
Evaluating the impact of neuromusculoskeletal impairment on athletic performance. Sufficient physical activity is required for good health. Competitive sport is a culturally significant physical activity in Australia and the prospect of participating in fair competition is known to drive participation. In Paralympic sport, fair competition is enabled by classification, which aims to minimise the impact of impairments on competition outcome. Unfortunately classification methods are not evidence-b ....Evaluating the impact of neuromusculoskeletal impairment on athletic performance. Sufficient physical activity is required for good health. Competitive sport is a culturally significant physical activity in Australia and the prospect of participating in fair competition is known to drive participation. In Paralympic sport, fair competition is enabled by classification, which aims to minimise the impact of impairments on competition outcome. Unfortunately classification methods are not evidence-based, reducing confidence in the process and discouraging participation. This project will inform the development of the first evidence-based classification system, creating the possibility that, in the future, the prospect of truly fair competition may motivate sports participation among Australians, regardless of disability.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101100
Funder
Australian Research Council
Funding Amount
$425,613.00
Summary
Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health c ....Towards Robotic Empathy: A human centred approach to future AI machines. The project aims to equip future robots with empathy by developing computational models which can leverage from verbal and non-verbal cues. With recent advances in artificial intelligence research, robots now have better cognitive and function skills, but they lack socio-emotional skills. Since these robots are expected to provide assistance to humans across different domains including rehabilitation, education and health care, empowering them with empathetic abilities is important for their success. The project will advance fundamental research in machine learning, affective computing and artificial intelligence to model human behavior, personality traits and emotions for an empathetic human-robot interaction.Read moreRead less
Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this i ....Improving the specificity of affective computing via multimodal analysis. This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.Read moreRead less
Optimising Compliance Outcomes In Recreational Fisheries
Funder
Fisheries Research and Development Corporation
Funding Amount
$20,605.90
Summary
This research questions how best to optimise compliance within the WA and SA blue swimmer crab fishery. Optimising 'cooperative compliance' in a fishery should consider the perspectives of those paying management costs, those tasked with management and fishers themselves, yet little formal study exists of the perceptions of the effectiveness of recreational fisheries rules and their impact on the overall fishing experience. WA Peel-Harvey and SA blue swimmer crab recreational fisheries are l ....This research questions how best to optimise compliance within the WA and SA blue swimmer crab fishery. Optimising 'cooperative compliance' in a fishery should consider the perspectives of those paying management costs, those tasked with management and fishers themselves, yet little formal study exists of the perceptions of the effectiveness of recreational fisheries rules and their impact on the overall fishing experience. WA Peel-Harvey and SA blue swimmer crab recreational fisheries are large, iconic, accessible and popular fisheries. A licence is not required and inspections often reveal high levels of noncompliance with regulations, requiring intensive education and enforcement efforts. These fisheries present a challenge: minimising management costs and restrictions while maximising recreational fisher enjoyment can be conflicting aims. There is clearly a need to identify optimal education and enforcement strategies that can be demonstrated to work well in a recreational context of low inspection coverage (typically fewer than 10% of fishing opportunities are subject to inspection in recreational fisheries) with a cryptic fisher population that lacks licencing or registration requirements to target education. FRDC 2014/206 led to development of a Compliance Outcomes Framework adopted by WA and SA, but a need remains to develop metrics for that framework. Perceptions of the effectiveness of rules and their impact on the recreational fishing experience could meet that need. Prospective longitudinal studies are the gold standard in measuring change over time and demonstrating causality for that change. To determine the cost-effectiveness of such a study for a fishery, there is a need for scoping work to ascertain suitability of existing datasets, sampling methodologies and what skills and experience would be required to undertake the work. This project will consider those issues and others to determine the feasibility of undertaking such longitudinal studies to routinely assess the effectiveness of fisher education and enforcement strategies and how rules impact on fisher enjoyment. This application targets Human Dimensions Research Goal 2: Understanding compliance behaviour of fishers. Objectives: 1. To characterise the quality and contents of compliance datasets held by WA and SA government agencies and specific to two recreational blue swimmer crab fisheries, in order to evaluate their adequacy for social science research objectives such as longitudinal studies. 2. To analyse existing blue swimmer crab compliance datasets for trends and insights and test those findings against reference groups. 3. To contrast recreational blue swimmer crab fisher’s attitudes towards compliance in WA and SA to their own, and the other jurisdictions' management frameworks. 4. Determine whether illegal catch can be estimated based on assessment of available data and analysis of drivers of non-compliance. 5. To conduct a proof of concept that scopes out the resources, expertise and design necessary to show changes in blue swimmer crab fisher behaviour and attitudes and demonstrate any causality to education and enforcement strategies and their effect on 'cooperative compliance'. 6. To better understand how recreational blue swimmer crab fishers in both jurisdictions obtain information and respond to education and enforcement strategies. Read moreRead less
Our Pledge: Australian Seafood Industry Response To Community Values And Expectations
Funder
Fisheries Research and Development Corporation
Funding Amount
$153,484.97
Summary
Despite considerable investment in RD&E to understand why the Australian seafood industry has been experiencing diminished levels of socio-political and community acceptability, there is still uncertainty regarding the significant values of different segments of the Australian community for coastal and marine systems, their management and industry (Essence Communications 2015). Further, there is evidence these values and associated expectations are highly changeable and can have significant indi ....Despite considerable investment in RD&E to understand why the Australian seafood industry has been experiencing diminished levels of socio-political and community acceptability, there is still uncertainty regarding the significant values of different segments of the Australian community for coastal and marine systems, their management and industry (Essence Communications 2015). Further, there is evidence these values and associated expectations are highly changeable and can have significant individual, business and national repercussions. While the seafood industry already operates from a strong values-based position of its own - ‘sustainability’, there is evidence the community's concerns have expanded to include animal welfare, supply chain integrity, modern slavery for example.
Understanding community values and expectations is important but not enough. Industry must articulate and demonstrate its commitments to addressing kncommunity expectations. This is critical to breaking the reactive negative cycle that threatens resource access, mental health and viability of our industry. A means of monitoring and tracking industry's success in responding to the community's changing expectations and values must also be developed.
Seafood Industry Australia's (SIA) members have identified social licence. This project is a tangible commitment to a national conversation and action to address community values. It is an opportunity to build seafood industry unity on the basis of a set of shared values and supporting practices.
Australian Council of Prawn Fisheries (ACPF) has initiated a lot of this listening and values-related work relevant to wild catch prawns. ACPF is ready to design, implement and evaluate activities that embed these values as messages and convey the supporting or changing behaviours as proof. ACPF needs to ensure that its outputs reflect the direction of the Australia seafood industry and sees advantages in liaising with SIA as it produces outputs at sector level. In doing so, it will provide a test case for how other seafood industry sectors can undertake to acknowledge and respond to community values and expectations, and make a national set of shared industry-community values their own. Objectives: 1. Identify values of major segments of the Australian community for fisheries resources and seafood industries, and expectations of industry behaviours that support those values 2. Identify values of the Australian seafood industry that are common across the industry at national and sector/regional scales 3. Establish industry response to community values and expectations, including measurable benchmarks of industry behaviours and performance that demonstrate commitment 4. Demonstrate and evaluate the effectiveness of a community engagement and communication strategy that is built on recognised shared values and committment to supporting industry behaviours (Extension proof of concept – Prawns) 5. Increase capacity of industry's current and emerging leaders to engage in values-and-behaviours conversations with community leaders on an ongoing basis Read moreRead less