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Outputs (2147)

Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon (2023)
Journal Article
Memon, H., Gjerde, E., Lynam, A., Chowdhury, A., De Maere, G., Figueredo, G., & Hussain, T. (2024). Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Engineering Applications of Artificial Intelligence, 128, Article 107465. https://doi.org/10.1016/j.engappai.2023.107465

The first-of-its-kind use of the active learning (AL) framework in thermal spray is adapted to enhance the prediction accuracy of the in-flight particle characteristics. The successful AL framework implementation via Bayesian Optimisation is benefici... Read More about Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon.

The Stretchy Strap: supporting encumbered interaction with guitars (2023)
Journal Article
Martinez Avila, J., Hazzard, A., Greenhalgh, C., Benford, S., & McPherson, A. (2023). The Stretchy Strap: supporting encumbered interaction with guitars. Journal of New Music Research, 52(1), 19-40. https://doi.org/10.1080/09298215.2023.2274832

Guitarists struggle to play their instruments while simultaneously using additional computing devices (i.e., encumbered interaction). We explored designs with guitarists through co-design and somaesthetic design workshops, learning that they (unsurpr... Read More about The Stretchy Strap: supporting encumbered interaction with guitars.

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance (2023)
Journal Article
Triguero, I., Molina, D., Poyatos, J., Del Ser, J., & Herrera, F. (2024). General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Information Fusion, 103, Article 102135. https://doi.org/10.1016/j.inffus.2023.102135

Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solving a wide array of tasks without being specifically designed for them.... Read More about General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.

Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse (2023)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2023). Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data, 6, Article 1240660. https://doi.org/10.3389/fdata.2023.1240660

Introduction: The study of the brain continues to generate substantial volumes of data, commonly referred to as “big brain data,” which serves various purposes such as the treatment of brain-related diseases, the development of neurotechnological dev... Read More about Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.

Programming language semantics: It’s easy as 1,2,3 (2023)
Journal Article
HUTTON, G. (2023). Programming language semantics: It’s easy as 1,2,3. Journal of Functional Programming, 33, Article e9. https://doi.org/10.1017/S0956796823000072

Programming language semantics is an important topic in theoretical computer science, but one that beginners often find challenging. This article provides a tutorial introduction to the subject, in which the language of integers and addition is used... Read More about Programming language semantics: It’s easy as 1,2,3.

A Difficulty in Trust Modelling (2023)
Presentation / Conference Contribution
Muller, T. (2023, October). A Difficulty in Trust Modelling. Presented at 14th IFIP International Conference on Trust Management (IFIPTM 2023), Amsterdam, Netherlands

There are various trust models, and no pair are the same. Why is there no consensus on what the best trust model is yet? In this paper, we prove some impossibility results, that suggests that no perfect trust model exists. We provide a general meta-m... Read More about A Difficulty in Trust Modelling.

Pre-Signature Scheme for Trustworthy Offline V2V Communication (2023)
Presentation / Conference Contribution
Muller, T., Carpent, X., Furnell, S., Almani, D., & Yoshizawa, T. (2023, October). Pre-Signature Scheme for Trustworthy Offline V2V Communication. Presented at 14th IFIP International Conference on Trust Management (IFIPTM 2023), Amsterdam, Netherlands

Vehicle-to-Vehicle (V2V) communication systems hold great potential for enhancing road safety and traffic efficiency. The authenti-cation of such communication is crucial, particularly in scenarios where infrastructure is absent, while also ensuring... Read More about Pre-Signature Scheme for Trustworthy Offline V2V Communication.

Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis (2023)
Journal Article
Clark, J. R., Large, D. R., Shaw, E., Nichele, E., Galvez Trigo, M. J., Fischer, J. E., Burnett, G., & Stanton, N. A. (2024). Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis. Applied Ergonomics, 114, Article 104152. https://doi.org/10.1016/j.apergo.2023.104152

Onboard virtual assistants with the ability to converse with users are gaining favour in supporting effective human-machine interaction to meet safe standards of operation in automated vehicles (AVs). Previous studies have highlighted the need to com... Read More about Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis.