Outputs (2066)

How Personal Value Orientations Influence Behaviors in Digital Citizen Science (2024)
Journal Article
Jeong, E., Jackson, C., Dowthwaite, L., Johnson, C., & Trouille, L. (2024). How Personal Value Orientations Influence Behaviors in Digital Citizen Science. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-25. https://doi.org/10.1145/3637341

While much research has examined motivations for contributing to citizen science projects, few studies have considered the role of personal values in directing citizen scientists' interactions and contribution patterns. We investigated whether person... Read More about How Personal Value Orientations Influence Behaviors in Digital Citizen Science.

Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts (2024)
Journal Article
Tyasnurita, R., Özcan, E., Drake, J. H., & Asta, S. (2024). Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts. Knowledge-Based Systems, 295, Article 111731. https://doi.org/10.1016/j.knosys.2024.111731

Hyper-heuristics are general purpose search methods for solving computationally difficult problems. A selection hyper-heuristic is composed of two key components: a heuristic selection method and move acceptance criterion. Under an iterative single-p... Read More about Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts.

Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network (2024)
Journal Article
Zhang, X., Huang, B., Chen, G., Ge, L., Radenkovic, M., & Hou, G. (2024). Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4205214. https://doi.org/10.1109/tgrs.2024.3388040

Efficient eddy trajectory prediction driven by multiinformation fusion can facilitate the scientific research of oceanography, while the complicated dynamics mechanism makes this issue challenging. Benefiting from ocean observing technology, the eddy... Read More about Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network.

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., …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.

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., …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.

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., …Sevegnani, M. (2024). The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. In HRI ’24 Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (172-176). https://doi.org/10.1145/3610978.3640725

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.

Encountering Autonomous Robots on Public Streets (2024)
Presentation / Conference Contribution
Pelikan, H. R. M., Reeves, S., & Cantarutti, M. N. (2024). Encountering Autonomous Robots on Public Streets. In HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (561-571). https://doi.org/10.1145/3610977.3634936

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 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.