Touch and Tension: Molecular Determinants of Human Mechanosensation . Feelings of touch and muscle tension are initiated by mechanosensory neurons found within the peripheral nervous system. Knowledge of human mechanosensory neurons has predominantly relied on rodent studies because of the limited availability of human tissue, which is not ideal. Our team has developed novel technologies for generating human mechanosensory neurons ‘in the dish’. The major aim of this project is to use human stem ....Touch and Tension: Molecular Determinants of Human Mechanosensation . Feelings of touch and muscle tension are initiated by mechanosensory neurons found within the peripheral nervous system. Knowledge of human mechanosensory neurons has predominantly relied on rodent studies because of the limited availability of human tissue, which is not ideal. Our team has developed novel technologies for generating human mechanosensory neurons ‘in the dish’. The major aim of this project is to use human stem cell-derived mechanosensory neurons as a platform to extensively study their molecular and functional properties. The significant benefits are the advancement of knowledge in the human mechanosensory system, which to date has been lacking, and in the long-term progress commercial development of novel drugs.Read moreRead less
Muscle memory: The key to novel interactive memory support systems. This project aims to investigate how the use of muscle memory as a deliberate interaction design resource can effectively support declarative memory. The project brings together memory interaction design and bodily activity design to address increasing concerns surrounding Australians’ memory. By investigating muscle memory in interaction design, the project is expected to advance international understanding of scholarly and pra ....Muscle memory: The key to novel interactive memory support systems. This project aims to investigate how the use of muscle memory as a deliberate interaction design resource can effectively support declarative memory. The project brings together memory interaction design and bodily activity design to address increasing concerns surrounding Australians’ memory. By investigating muscle memory in interaction design, the project is expected to advance international understanding of scholarly and practical processes that complement design for declarative memory. The project will lay the foundation for extending research which will assist movement, rehabilitation, health and educational sports practitioners that can create engaging experiences that use muscle memory for the benefit of all Australians.Read moreRead less
Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drive ....Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drives low and high-level brain functions, i.e., creating a window into the mind. In the future, outcomes from this study could improve our understanding of mental disorders, advance computer brain interface technology, and inspire the next paradigm shift in artificial intelligence.Read moreRead less
An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping technique ....An interaction model for human–machine creative collaboration. The project aims to demonstrate how interactive systems can enhance creative productivity, through the development and evaluation of a model for how humans and AI can interact while creating. This is expected to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will be validated in the domains of drawing and music composition by rigorous human-centred prototyping techniques. The principal anticipated outcome of the project is a model for how to enhance creative work through interacting with AI, an opportunity that is currently largely unexplored. Benefits will include an increase in the rate of creative outputs, both within the creative industries and throughout the economy.Read moreRead less
Trust and Safety in Autonomous Mobility Systems: A Human-centred Approach. This project aims to understand the link between trust, safety, and the public acceptance of driverless cars. The uptake of autonomous mobility systems relies upon public trust. Recent injuries, and even a fatality, have highlighted the risks they pose to pedestrians in particular. The project investigates new interfaces for improving public trust and pedestrial safety by allowing vehicles to communicate with the people a ....Trust and Safety in Autonomous Mobility Systems: A Human-centred Approach. This project aims to understand the link between trust, safety, and the public acceptance of driverless cars. The uptake of autonomous mobility systems relies upon public trust. Recent injuries, and even a fatality, have highlighted the risks they pose to pedestrians in particular. The project investigates new interfaces for improving public trust and pedestrial safety by allowing vehicles to communicate with the people around them. Along the way, it develops a validated approach for simulating real interactions with autonomous vehicles in a virtual-reality environment. Benefits include strategies for making driverless cars safer for pedestrians and a new approach for testing solutions to this emerging problem in a low-cost, low-risk way.Read moreRead less
Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of ....Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of systems. We will design and develop solutions that may address the issues and test those interventions in a longitudinal manner. The outcome will be a framework which can be applied in a variety of situations and modalities by designers and developers of such systems, and feed into childhood technology guidelines.
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Shared-space interactions between people and autonomous vehicles. This project aims to understand how autonomous vehicles in urban environments need to interact with the people that they share those spaces with. Autonomous vehicles that are able to operate in shared spaces, such as campuses and pedestrian zones, promise to improve urban life. However, their uptake depends heavily on public acceptance as they operate in close proximity to people. The project investigates whether people are more l ....Shared-space interactions between people and autonomous vehicles. This project aims to understand how autonomous vehicles in urban environments need to interact with the people that they share those spaces with. Autonomous vehicles that are able to operate in shared spaces, such as campuses and pedestrian zones, promise to improve urban life. However, their uptake depends heavily on public acceptance as they operate in close proximity to people. The project investigates whether people are more likely to trust the technology and feel safe if they are able to understand how the system makes decisions and to directly influence its behaviour. Outcomes are expected to promote safe behaviour around urban robotic applications and accelerate the uptake of autonomous systems in Australia’s cities. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100479
Funder
Australian Research Council
Funding Amount
$427,116.00
Summary
A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of ac ....A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of activity, ii) differential – frequency of activity and iii) integrational – cumulative activity. And a co-design interface to synthesize them into complex activity sensors to fit individualised needs. Finally, we will evaluate the framework by deploying the created sensors in real-world settings and gathering data.Read moreRead less