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Status : Active
Socio-Economic Objective : Human-Computer Interaction
Research Topic : Distributed Computing
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240102799

    Funder
    Australian Research Council
    Funding Amount
    $596,031.00
    Summary
    Co-designing Innovations in Digital Storytelling with Older Adults. This project aims to investigate how emerging technologies can be leveraged to provide innovative ways for older adults to create and share their life stories to foster social wellbeing. Later life can be a time of considerable change, leaving people feeling disconnected from the people, places, and life events that are important to them. Autobiographical storytelling can help create links with one's past, but little is known ab .... Co-designing Innovations in Digital Storytelling with Older Adults. This project aims to investigate how emerging technologies can be leveraged to provide innovative ways for older adults to create and share their life stories to foster social wellbeing. Later life can be a time of considerable change, leaving people feeling disconnected from the people, places, and life events that are important to them. Autobiographical storytelling can help create links with one's past, but little is known about how technologies such as digital games and virtual reality can be used to enable older adults to share stories about their lives in a way that supports ongoing social interactions. This project is expected to co-design new forms of digital storytelling to improve social wellbeing of older adults.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240103208

    Funder
    Australian Research Council
    Funding Amount
    $599,969.00
    Summary
    (Re)Designing Digital Justice. This project aims to address the challenge of (re)designing novel online court systems by introducing a human-centred design process to the legal process. This project will generate fundamental new knowledge in respect of how to effectively design an inclusive justice system, bridging the gap between the legal system and human-computer interaction. Expected outcomes include how to use technology to implement a more just, efficient, and fair legal system, which is a .... (Re)Designing Digital Justice. This project aims to address the challenge of (re)designing novel online court systems by introducing a human-centred design process to the legal process. This project will generate fundamental new knowledge in respect of how to effectively design an inclusive justice system, bridging the gap between the legal system and human-computer interaction. Expected outcomes include how to use technology to implement a more just, efficient, and fair legal system, which is accessible to all Australians. This should provide significant benefits for both Australian society and the legal system.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240103278

    Funder
    Australian Research Council
    Funding Amount
    $544,551.00
    Summary
    Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to .... Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to significantly reduce the number of interactions required, improve generalisation, and provide the agent with the capability to consider the cause-effects. These improvements would narrow the gap between AI and human capabilities and broaden the adoption of RL in real-world applications.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100730

    Funder
    Australian Research Council
    Funding Amount
    $455,000.00
    Summary
    Hybrid Technologies for Tabletop Games . This project aims to develop design tools for hybrid games that combine technology with tabletop play. Through a detailed examination of successful hybrid boardgames and an iterative, human-centered design and evaluation process that explores embedding novel sensors and tools into boardgames, it will explore the design, use, and experience of hybrid games. Expected outcomes include design of innovative and reusable components, a framework for understandin .... Hybrid Technologies for Tabletop Games . This project aims to develop design tools for hybrid games that combine technology with tabletop play. Through a detailed examination of successful hybrid boardgames and an iterative, human-centered design and evaluation process that explores embedding novel sensors and tools into boardgames, it will explore the design, use, and experience of hybrid games. Expected outcomes include design of innovative and reusable components, a framework for understanding technologies that enable hybrid play, and a theory-based design methodology. Benefits include innovation in the tabletop game sector, fostering social connections for distanced families, and new applications of games for simulations in health, defence, and logistics.
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