Outputs (104)

The ethical and legal landscape of brain data governance (2022)
Journal Article
Ochang, P., Stahl, B. C., & Eke, D. (2022). The ethical and legal landscape of brain data governance. PLoS ONE, 17(12), Article e0273473. https://doi.org/10.1371/journal.pone.0273473

Neuroscience research is producing big brain data which informs both advancements in neuroscience research and drives the development of advanced datasets to provide advanced medical solutions. These brain data are produced under different jurisdicti... Read More about The ethical and legal landscape of brain data governance.

Automated algorithm design using proximal policy optimisation with identified features (2022)
Journal Article
Yi, W., Qu, R., & Jiao, L. (2023). Automated algorithm design using proximal policy optimisation with identified features. Expert Systems with Applications, 216, Article 119461. https://doi.org/10.1016/j.eswa.2022.119461

Automated algorithm design is attracting considerable recent research attention in solving complex combinatorial optimisation problems, due to that most metaheuristics may be particularly effective at certain problems or certain instances of the same... Read More about Automated algorithm design using proximal policy optimisation with identified features.

Interactions of fast-moving consumer goods in cooking: Insights from a quantitative ethnographic study (2022)
Journal Article
Berumen, G., Fischer, J., & Baumers, M. (2023). Interactions of fast-moving consumer goods in cooking: Insights from a quantitative ethnographic study. Packaging Technology and Science, 36(4), 265-279. https://doi.org/10.1002/pts.2710

Fast-moving consumer goods (FMCGs) are increasingly equipped with enhanced packaging that incorporates novel functionalities. Providing FMCGs with this technology is challenging due to their unique characteristics, such as their low cost and short li... Read More about Interactions of fast-moving consumer goods in cooking: Insights from a quantitative ethnographic study.

Immersive, Creative, Inclusive: Areas of cross-fertilization between accessible captions for D/deaf audiences for the stage and for the screen (2022)
Journal Article
Mével, P. A., Robinson, J., & Tennent, P. (2022). Immersive, Creative, Inclusive: Areas of cross-fertilization between accessible captions for D/deaf audiences for the stage and for the screen. Journal of Audiovisual Translation, 5(2), 176-193. https://doi.org/10.47476/jat.v5i2.2022.227

In a deliberate and valiant effort to adapt to the conditions created by the recent pandemic, many theatre companies across the globe shifted their activities from the stage to online video platforms. But in releasing large portions of their back-cat... Read More about Immersive, Creative, Inclusive: Areas of cross-fertilization between accessible captions for D/deaf audiences for the stage and for the screen.

Towards a master narrative for trust in autonomous systems: Trust as a distributed concern (2022)
Journal Article
Lindley, J., Green, D. P., McGarry, G., Pilling, F., Coulton, P., & Crabtree, A. (2023). Towards a master narrative for trust in autonomous systems: Trust as a distributed concern. Journal of Responsible Technology, 13, 100057. https://doi.org/10.1016/j.jrt.2022.100057

In this paper we present findings of research into Trust, specifically within the context of Autonomous Systems. The research is based upon an exploratory workshop attended by domain experts from academia and industry. The aim of t... Read More about Towards a master narrative for trust in autonomous systems: Trust as a distributed concern.

A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty (2022)
Journal Article
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2022). A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty. IEEE Transactions on Fuzzy Systems, 31(8), 2532-2544. https://doi.org/10.1109/tfuzz.2022.3228332

Deep learning methods have achieved an excellent performance in medical image segmentation. However, the practical application of deep learning-based segmentation models is limited in clinical settings due to the lack of reliable information about th... Read More about A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty.

Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems (2022)
Presentation / Conference Contribution
Chamberlain, A., Benford, S., Fischer, J., Barnard, P., Greenhalgh, C., Row Farr, J., Tandavanitj, N., & Adams, M. (2022, December). Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems. Presented at Proceedings of the Ninth International Conference on Animal-Computer Interaction, Newcastle, UK

From cat feeders and cat flaps to robot toys, humans are deploying increasingly autonomous systems to look after their pets. In parallel, industry is developing the next generation of autonomous systems to look after humans in the home – most notably... Read More about Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems.

Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup (2022)
Book Chapter
Kiraz, B., Asta, S., Özcan, E., Köle, M., & Etaner-Uyar, A. S. (2023). Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup. In Engineering Applications of Modern Metaheuristics (1-18). Springer. https://doi.org/10.1007/978-3-031-16832-1_1

Tuning a race car to improve its performance by adopting an effective setup is crucial and an extremely challenging task. The Open Racing Car Simulator, referred to as TORCS, is a well-known simulator in which a race car requires a configuration of t... Read More about Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup.

Conversational AI: Respecifying participation as regulation (2022)
Book Chapter
Reeves, S., & Porcheron, M. (2022). Conversational AI: Respecifying participation as regulation. In W. Housley, A. Edwards, R. Beneito-Montagut, & R. Fitzgerald (Eds.), The SAGE Handbook of Digital Society. SAGE Publications

When we talk about AI-driven systems there is a tendency by researchers to treat people encountering them as ‘participants’ in human-machine interactions. This seems particularly true for so-called conversational AI, such as voice interfaces or chatb... Read More about Conversational AI: Respecifying participation as regulation.

2Zero project D5.1 Modelling And Simulation Report (2022)
Report
Atkin, J., Karapetyan, D., De Maere, G., He, Y., Jackson, W., El Krari, M., & Siggs, T. 2Zero project D5.1 Modelling And Simulation Report. Innovate UK

This report summarises the work in the Modelling and Simulation Work Package, WP 2, of the 2Zero project (funded by Innovate UK, grant agreement number 74829) under UKRI’s Future Flight Challenge Fund. It discusses the simulation that was built, how... Read More about 2Zero project D5.1 Modelling And Simulation Report.