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Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges (2023)
Book
Stahl, B. C., Schroeder, D., & Rodrigues, R. (2023). Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges. Springer. https://doi.org/10.1007/978-3-031-17040-9

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemm... Read More about Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges.

Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism (2023)
Journal Article
Huang, Y., Benford, S., Spence, J., & Blake, H. (2024). Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism. Cyberpsychology, Behavior, and Social Networking, 27(3), 221-226. https://doi.org/10.1089/cyber.2023.0183

In this study, we tested the effect of a nostalgic storytelling virtual reality (VR) experience (vs. a text-reading neutral VR experience as the comparison condition) on state-level eudaimonic well-being and explored the underlying mediating mechanis... Read More about Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism.

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition (2023)
Journal Article
Xiao, Z., Tong, H., Qu, R., Xing, H., Luo, S., Zhu, Z., Song, F., & Feng, L. (2023). CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 1-15. https://doi.org/10.1109/TNNLS.2023.3344294

This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called... Read More about CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

Corrigendum: 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. (in press). Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data, 6, Article 1344345. https://doi.org/10.3389/fdata.2023.1344345

In the published article, there was an error in the author list arrangement, the corrected author list appears below. Paschal Ochang1*, Damian Eke1 and Bernd Carsten Stahl1,2 The authors apologize for this error and state that this does not change th... Read More about Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.

Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data (2023)
Presentation / Conference Contribution
Milligan, G., Harvey, J., Dowthwaite, L., Vallejos, E. P., Nica-Avram, G., & Goulding, J. (2023, December). Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data. Presented at 2023 IEEE International Conference on Big Data, Sorrento, Italy

Life satisfaction significantly contributes to wellbe-ing and is linked to positive outcomes for individual people and society more broadly. However, previous research demonstrates that many factors contribute to the life satisfaction of an individua... Read More about Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data.

Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness (2023)
Journal Article
Gómez Bergin, A. D., & Craven, M. P. (2023). Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness. BMC Digital Health, 1(53), https://doi.org/10.1186/s44247-023-00054-9

Introduction

Health economic evaluations are required to best understand the value of interventions to the health economy. As extended reality technologies (an umbrella term including virtual, augmented, and mixed reality) become cheaper and more... Read More about Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness.

Ensemble strategy using particle swarm optimisation variant and enhanced local search capability (2023)
Journal Article
Hong, L., Wang, G., Özcan, E., & Woodward, J. (2023). Ensemble strategy using particle swarm optimisation variant and enhanced local search capability. Swarm and Evolutionary Computation, 84, Article 101452. https://doi.org/10.1016/j.swevo.2023.101452

Particle swarm optimisation is a population-based algorithm for evolutionary computation. A notable recent research direction has been to combine different effective mechanisms to enhance both exploration and exploitation capabilities while employing... Read More about Ensemble strategy using particle swarm optimisation variant and enhanced local search capability.

A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization (2023)
Journal Article
Hong, L., Yu, X., Tao, G., Özcan, E., & Woodward, J. (2024). A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization. Complex and Intelligent Systems, 10(2), 2421-2443. https://doi.org/10.1007/s40747-023-01269-z

Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-param... Read More about A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization.

New directions in fitness evaluation: commentary on Langdon’s JAWS30 (2023)
Journal Article
Johnson, C. G. (2023). New directions in fitness evaluation: commentary on Langdon’s JAWS30. Genetic Programming and Evolvable Machines, 24(2), Article 22. https://doi.org/10.1007/s10710-023-09470-2

Langdon's paper emphasises the key role of fitness in GP, yet notes issues with current approaches to fitness: "In GP, as in most optimisation problems, most of the computation effort is spent on evaluating how good the proposed solutions are". The p... Read More about New directions in fitness evaluation: commentary on Langdon’s JAWS30.

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.

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.

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.

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.

UbiFix: Tackling Repairability Challenges in Smart Devices (2023)
Presentation / Conference Contribution
Sailaja, N., Castle-Green, T., Coulton, P., Stead, M., Lindley, J., Urquhart, L., & Darzentas, D. P. (2023, October). UbiFix: Tackling Repairability Challenges in Smart Devices. Presented at UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, Cancun, Quintana Roo Mexico

IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning susta... Read More about UbiFix: Tackling Repairability Challenges in Smart Devices.