Information support tools for the trauma patient pathway. Processes such as critical supply chain management, disaster management, and trauma patient pathways need people, resources, and information to be smoothly transferred between jurisdictions, but problems can occur at each handover. This project focuses on the prehospital to hospital patient pathway and aims to develop technologies, devices, and displays to support more effective handover of patients between jurisdictions. The project will ....Information support tools for the trauma patient pathway. Processes such as critical supply chain management, disaster management, and trauma patient pathways need people, resources, and information to be smoothly transferred between jurisdictions, but problems can occur at each handover. This project focuses on the prehospital to hospital patient pathway and aims to develop technologies, devices, and displays to support more effective handover of patients between jurisdictions. The project will conduct field research, design activities, and simulation-based evaluation of prototypes with healthcare professionals. Expected outcomes are designs, technologies, and guidelines that will generalise to other multi-jurisdictional processes. Benefits are safer and more efficient handover processes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100687
Funder
Australian Research Council
Funding Amount
$364,446.00
Summary
Fostering making practices in people from low socio-economic backgrounds. This project aims to foster Do-It-Yourself (DIY) practices among people from low socio-economic (LSE) backgrounds in Australia by understanding existing practices at four diverse makerspaces and enabling LSE members to co-design technological prototypes that fit their own needs. Through a set of in-depth ethnographic studies and workshops, this research seeks to develop theories of creative collaborations (informed by empi ....Fostering making practices in people from low socio-economic backgrounds. This project aims to foster Do-It-Yourself (DIY) practices among people from low socio-economic (LSE) backgrounds in Australia by understanding existing practices at four diverse makerspaces and enabling LSE members to co-design technological prototypes that fit their own needs. Through a set of in-depth ethnographic studies and workshops, this research seeks to develop theories of creative collaborations (informed by empirical data), methods, and prototypes for engaging LSE members in DIY practices. This project will make our culture more inclusive, harness the strengths of LSE members, increase their community engagement, and raise their economic prospects.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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Sociophysical Interactions: understanding the role of social and tangible technologies in maintaining good habits into old age. How can technology help us 'age well'? The project will study, design and evaluate novel information systems that integrate and support social engagement and physical activity in order to build foundational knowledge about these technologies and maintain the opportunities for social engagement and physical activity in our ageing population.
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.
Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time informat ....Eat, cook, grow: Ubiquitous technology for sustainable food culture in the city. Raising people's awareness of healthy and ecological food options with nutritional data and educational information does not foster a sustained practice towards a more environmentally friendly food culture. This study seeks to develop a better understanding how to go beyond just informing and into supporting and sustaining action and change. Drawing on interaction design, ubiquitous computing and real- time information, the study will deliver research findings that inform viable new design approaches and information interfaces which will strengthen Australia's position to resolve the problems of obesity, malnutrition and ecological issues of mass food processing, and contribute to the sustainability of life in Australian cities.Read moreRead less
Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and w ....Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.Read moreRead less
Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-de ....Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-design and iterative prototyping in the domains of radiology training and environmental learning, we will devise and evaluate exemplar systems that support humans to interactively frame problems, explore and learn, while utilising and improving machine models, leading to a guiding framework for designing human-machine teaming.Read moreRead less
Coordination and communication in critical care: Assessing potential technology support. This project will examine temporal coordination demands of busy critical care environments, with the goal of developing better models and tools for evaluating the impact of information and communication technology (ICT) innovation. Millions of dollars can be wasted on healthcare ICT updates when the nature of critical care work, the means of communication, and temporal coordination demands are not fully unde ....Coordination and communication in critical care: Assessing potential technology support. This project will examine temporal coordination demands of busy critical care environments, with the goal of developing better models and tools for evaluating the impact of information and communication technology (ICT) innovation. Millions of dollars can be wasted on healthcare ICT updates when the nature of critical care work, the means of communication, and temporal coordination demands are not fully understood. The outcome of this project will be better conceptual and computational tools for assessing the impact of ICT innovation on safety-critical systems such as healthcare, so providing more cost-effective ICT solutions where there is rapidly-evolving ICT innovation.Read moreRead less
Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automa ....Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automated vehicles, new methodology for cooperative behaviour research, and enhanced research capacity. The expected significant benefits are for automated systems to become more predictable, acceptable, readable and safer to use by everyday people.Read moreRead less