Skip to main content

Research Repository

Advanced Search

All Outputs (1964)

Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space (2024)
Conference Proceeding
Benford, S., Mancini, C., Chamberlain, A., Schneiders, E., Castle-Green, S., Fischer, J., …Ju, R. F. (in press). Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royal... Read More about Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study (2024)
Journal Article
Landowska, A., Wilson, M. L., Craven, M. P., & Harrington, K. (2024). Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study. International Journal of Human-Computer Studies, 184, Article 103206. https://doi.org/10.1016/j.ijhcs.2023.103206

With the growing concern for the health of ageing populations, much research continues to look at the impact of cognitive training, particularly in relation to cognitive decline. We sought to use novel techniques, including augmented reality and port... Read More about Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study.

Provably Secure Decisions based on Potentially Malicious Information (2024)
Journal Article
Wang, D., Muller, T., & Sun, J. (2024). Provably Secure Decisions based on Potentially Malicious Information. IEEE Transactions on Dependable and Secure Computing, https://doi.org/10.1109/TDSC.2024.3353295

There are various security-critical decisions routinely made, based on information provided by peers: routing messages, user reports, sensor data, navigational information, blockchain updates, etc. Jury theorems were proposed in sociology to make dec... Read More about Provably Secure Decisions based on Potentially Malicious Information.

Cat Royale (2024)
Other
Schneiders, E., Benford, S., Tandavanitj, N., Adams, M., & Farr, J. R. (2024). Cat Royale

Would you let a robot care for your pet? Blast Theory’s Cat Royale explores the impact of AI on humans and animals. For 12 days, Ghostbuster, Pumpkin, and Clover played with a robot arm that offered them games, toys, and treats every few minutes. The... Read More about Cat Royale.

Densely Knowledge-Aware Network for Multivariate Time Series Classification (2024)
Journal Article
Xiao, Z., Xing, H., Qu, R., Feng, L., Luo, S., Dai, P., …Dai, Y. (2024). Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(4), 2192-2204. https://doi.org/10.1109/tsmc.2023.3342640

Multivariate time series classification (MTSC) based on deep learning (DL) has attracted increasingly more research attention. The performance of a DL-based MTSC algorithm is heavily dependent on the quality of the learned representations providing s... Read More about Densely Knowledge-Aware Network for Multivariate Time Series Classification.

Quotient Haskell: Lightweight Quotient Types for All (2024)
Journal Article
Hewer, B., & Hutton, G. (2024). Quotient Haskell: Lightweight Quotient Types for All. Proceedings of the ACM on Programming Languages, 8(POPL), 785-815. https://doi.org/10.1145/3632869

Subtypes and quotient types are dual type abstractions. However, while subtypes are widely used both explicitly and implicitly, quotient types have not seen much practical use outside of proof assistants. A key difficulty to wider adoption of quotie... Read More about Quotient Haskell: Lightweight Quotient Types for All.

Responsible AI in Africa: Challenges and Opportunities (2023)
Book
Akintoye, S., Eke, D. O., & Wakunuma, K. (Eds.). (2023). Responsible AI in Africa: Challenges and Opportunities. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-08215-3

This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical Afric... Read More about Responsible AI in Africa: Challenges and Opportunities.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

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., …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.

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.

Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data (2023)
Conference Proceeding
Milligan, G., Harvey, J., Dowthwaite, L., Vallejos, E. P., Nica-Avram, G., & Goulding, J. (2023). Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data. In Proceedings: 2023 IEEE International Conference on Big Data: Dec 15 - Dec 18, 2023 Sorrento, Italy. https://doi.org/10.1109/BigData59044.2023.10386740

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.

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.

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.

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. (2023). A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization. Complex and Intelligent Systems, 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.

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.