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Outputs (120)

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
Journal Article
Hayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., Bertò, G., Niso, G., Hanekamp, S., Levitas, D., Ray, K., MacKenzie, A., Avesani, P., Kitchell, L., Leong, J. K., Nascimento-Silva, F., Koudoro, S., Willis, H., Jolly, J. K., Pisner, D., …Pestilli, F. (2024). brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, 21, 809-813. https://doi.org/10.1038/s41592-024-02237-2

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was develop... Read More about brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.

Improving immersive consumption contexts using virtual & mixed reality (2024)
Journal Article
Barker, I., Yang, Q., Flintham, M., Ankeny, R., & Ford, R. (2024). Improving immersive consumption contexts using virtual & mixed reality. Science Talks, 10, Article 100346. https://doi.org/10.1016/j.sctalk.2024.100346

Immersive technologies, such as Virtual Reality (VR), provide a great opportunity to create relevant contexts in consumer studies. However, challenges persist in consuming food and drink during immersion and ensuring effective data collection. This s... Read More about Improving immersive consumption contexts using virtual & mixed reality.

Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations (2024)
Presentation / Conference Contribution
Turchi, T., Malizia, A., Paternò, F., Borsci, S., & Chamberlain, A. (2024, March). Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations. Presented at 29th International Conference on Intelligent User Interfaces, Greenville, South Carolina, USA

As the integration of Artificial Intelligence into daily decision-making processes intensifies, the need for clear communication between humans and AI systems becomes crucial. The Adaptive XAI (AXAI) workshop focuses on the design and development of... Read More about Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations.

Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK (2024)
Journal Article
Khan, K., Hall, C. L., Babbage, C., Dodzo, S., Greenhalgh, C., Lucassen, M., Merry, S., Sayal, K., Sprange, K., Stasiak, K., Tench, C. R., Townsend, E., Stallard, P., & Hollis, C. (2024). Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK. Pilot and Feasibility Studies, 10(1), Article 53. https://doi.org/10.1186/s40814-024-01475-7

Background : A serious game called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts), originally developed in New Zealand and incorporating cognitive behavioural therapy (CBT) principles, has been shown to help reduce symptoms of depressi... Read More about Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK.

Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks (2024)
Journal Article
Chen, X., Bai, R., Qu, R., Dong, J., & Jin, Y. (2024). Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation, https://doi.org/10.1109/tevc.2024.3381042

Efficient truck dispatching is crucial for optimizing container terminal operations within dynamic and complex scenarios. Despite good progress being made recently with more advanced uncertainty-handling techniques, existing approaches still have gen... Read More about Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks.

Gradient-based Fuzzy System Optimisation via Automatic Differentiation – FuzzyR as a Use Case (2024)
Preprint / Working Paper
Chen, C., Wagner, C., & Garibaldi, J. M. (2024). Gradient-based Fuzzy System Optimisation via Automatic Differentiation – FuzzyR as a Use Case

Since their introduction, fuzzy sets and systems have become an important area of research known for its versatility in modelling, knowledge representation and reasoning, and increasingly its potential within the context explainable AI. While the app... Read More about Gradient-based Fuzzy System Optimisation via Automatic Differentiation – FuzzyR as a Use Case.

Encountering Autonomous Robots on Public Streets (2024)
Presentation / Conference Contribution
Pelikan, H. R. M., Reeves, S., & Cantarutti, M. N. (2024, March). Encountering Autonomous Robots on Public Streets. Presented at 19th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boulder, Colorado, USA

Robots deployed in public settings enter spaces that humans live and work in. Studies of HRI in public tend to prioritise direct and deliberate interactions. Yet this misses the most common form of response to robots, which ranges from subtle fleetin... Read More about Encountering Autonomous Robots on Public Streets.

The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction (2024)
Presentation / Conference Contribution
Abioye, A. O., Hunt, W., Gu, Y., Schneiders, E., Naiseh, M., Fischer, J. E., Ramchurn, S. D., Soorati, M. D., Archibald, B., & Sevegnani, M. (2024, March). The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. Presented at HRI '24: ACM/IEEE International Conference on Human-Robot Interaction, Boulder CO USA

Formal Modelling is often used as part of the design and testing process of software development to ensure that components operate within suitable bounds even in unexpected circumstances. In this paper, we use predictive formal modelling (PFM) at run... Read More about The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction.

The Purr-suit of Happiness: A Tale of Three Kittens, Robots, Humans, Cats, and AI (2024)
Presentation / Conference Contribution
Schneiders, E., Benford, S., Row Farr, J., Tandavanitj, N., & Adams, M. (2024, March). The Purr-suit of Happiness: A Tale of Three Kittens, Robots, Humans, Cats, and AI. Presented at HRI '24: ACM/IEEE International Conference on Human-Robot Interaction, Boulder CO USA

This paper showcases Cat Royale, an exploration of the impact of artificial intelligence (AI) on animal happiness situated at the intersection of Art, Computer Science, and Animal Welfare. We argue for the inclusion of non-human actors when designing... Read More about The Purr-suit of Happiness: A Tale of Three Kittens, Robots, Humans, Cats, and AI.