All Outputs (90)

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
Mevel, 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.

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., …Adams, M. (2022). Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems. In ACI '22: Proceedings of the Ninth International Conference on Animal-Computer Interaction. https://doi.org/10.1145/3565995.3566046

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.

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.

The reception of public health messages during the COVID-19 pandemic (2022)
Journal Article
McClaughlin, E., Vilar-Lluch, S., Parnell, T., Knight, D., Nichele, E., Adolphs, S., …Schiazza, G. (2023). The reception of public health messages during the COVID-19 pandemic. Applied Corpus Linguistics, 3(1), Article 100037. https://doi.org/10.1016/j.acorp.2022.100037

Understanding the reception of public health messages in public-facing communications is of key importance to health agencies in managing crises, pandemics, and other health threats. Established public health communications strategi... Read More about The reception of public health messages during the COVID-19 pandemic.

An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms (2022)
Journal Article
Gümüş, D. B., Özcan, E., Atkin, J., & Drake, J. H. (2023). An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Information Sciences, 619, 153-171. https://doi.org/10.1016/j.ins.2022.11.008

Parameter tuning is a challenging and time-consuming task, crucial to obtaining improved metaheuristic performance. There is growing interest in cross-domain search methods, which consider a range of optimisation problems rather than being specialise... Read More about An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms.

Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods (2022)
Journal Article
Berumen, G., Fischer, J., & Baumers, M. (2022). Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods. Multimodal Technologies and Interaction, 6(11), Article 101. https://doi.org/10.3390/mti6110101

The incorporation of digital functionalities into consumer packaged goods (CPG) has the potential to improve our lives by supporting us in our daily practises. However, despite the increasing availability of data about their use, research is needed t... Read More about Data as a Resource for Designing Digitally Enhanced Consumer Packaged Goods.

The future of manufacturing: Utopia or dystopia? (2022)
Journal Article
Marinescu, A., Argyle, E. M., Duvnjak, J., Wilson, M. L., Lawson, G., Sharples, S., …Justham, L. (2023). The future of manufacturing: Utopia or dystopia?. Human Factors and Ergonomics in Manufacturing and Service Industries, 33(2), 184-200. https://doi.org/10.1002/hfm.20976

Digital manufacturing technologies (DMTs) have the potential to transform industry productivity, but their introduction into the workplace is often a complex process, requiring not only technical expertise but also an awareness of ethical and societa... Read More about The future of manufacturing: Utopia or dystopia?.

The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK (2022)
Journal Article
Dowthwaite, L., Wagner, H. G., Babbage, C. M., Fischer, J. E., Barnard, P., Nichele, E., …McAuley, D. (2022). The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLoS ONE, 17(10), Article e0276661. https://doi.org/10.1371/journal.pone.0276661

During the COVID-19 pandemic, digital contact-tracing has been employed in many countries to monitor and manage the spread of the disease. However, to be effective such a system must be adopted by a substantial proportion of the population; therefore... Read More about The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK.

Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles (2022)
Journal Article
Corrado, G., Ntourmas, G., Sferza, M., Traiforos, N., Arteiro, A., Brown, L., …Turner, T. (2022). Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles. Progress in Aerospace Sciences, 135, Article 100861. https://doi.org/10.1016/j.paerosci.2022.100861

Designing an airframe is a complex process as it requires knowledge from multiple disciplines such as aerodynamics, structural mechanics, manufacturing, flight dynamics, which individually lead to very different optimal designs. Furthermore, the grow... Read More about Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles.

Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study (2022)
Journal Article
Pepper, C., Reyes-Cruz, G., Pena, A. R., Dowthwaite, L., Babbage, C. M., Wagner, H., …Fischer, J. E. (2022). Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study. Journal of Medical Internet Research, 24(10), Article e40558. https://doi.org/10.2196/40558

Background: Digital contact tracing (DCT) apps have been implemented as a response to the COVID-19 pandemic. Research has focused on understanding acceptance and adoption of these apps, but more work is needed to understand the factors that may contr... Read More about Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study.

Ethics by design: Responsible research & innovation for AI in the food sector (2022)
Journal Article
Craigon, P. J., Sacks, J., Brewer, S., Frey, J., Gutierrez, A., Jacobs, N., …Pearson, S. (2023). Ethics by design: Responsible research & innovation for AI in the food sector. Journal of Responsible Technology, 13, Article 100051. https://doi.org/10.1016/j.jrt.2022.100051

Here we reflect on how a multidisciplinary working group explored the ethical complexities of the use of new technologies for data sharing in the food supply chain. We used a three-part process of varied design methods, which included collaborative i... Read More about Ethics by design: Responsible research & innovation for AI in the food sector.

Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint) (2022)
Preprint / Working Paper
Huang, Y., Benford, S., Li, B., Price, D., & Blake, H. Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint)

Background:
Encouraging office workers to break up prolonged sedentary behavior (SB) at work with regular micro-breaks can be beneficial yet challenging. Internet of Things (IoT) offers great promise for delivering more subtle and hence acceptable b... Read More about Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint).

Feature Importance Identification for Time Series Classifiers (2022)
Presentation / Conference Contribution
Meng, H., Wagner, C., & Triguero, I. (2022). Feature Importance Identification for Time Series Classifiers. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (3293-3298). https://doi.org/10.1109/smc53654.2022.9945205

Time series classification is a challenging research area where machine learning techniques such as deep learning perform well, yet lack interpretability. Identifying the most important features for such classifiers provides a pathway to improving th... Read More about Feature Importance Identification for Time Series Classifiers.

Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards (2022)
Presentation / Conference Contribution
Reyes-Cruz, G., Fischer, J., & Reeves, S. (2022). Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards. In Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI’22) (1-15). https://doi.org/10.1145/3546155.3546697

Disabled people's experiences and knowledge are oftentimes not central in design processes. Further, the burden of outreach and sensitising others to these experiences and knowledge is frequently not recognised. This paper offers a workshop approach... Read More about Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards.

Reflections on RRI in “TAS for Health at Home” (2022)
Journal Article
Jäger, N., Dowthwaite, L., Barnard, P., Hughes, A.-M., das Nair, R., Crepaz-Keay, D., …Benford, S. (2022). Reflections on RRI in “TAS for Health at Home”. Journal of Responsible Technology, 12, Article 100049. https://doi.org/10.1016/j.jrt.2022.100049

We reflect on our experiences using Responsible Research and Innovation (RRI) in the project “TAS for Health at Home”. Driven by a multi-disciplinary research team that consisted of experts in mental health, stroke rehabilitation, management of multi... Read More about Reflections on RRI in “TAS for Health at Home”.

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching (2022)
Journal Article
Chen, X., Bai, R., Qu, R., & Dong, H. (2023). Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching. IEEE Transactions on Evolutionary Computation, 27(5), 1220-1234. https://doi.org/10.1109/TEVC.2022.3209985

In a marine container terminal, truck dispatching is a crucial problem that impacts on the operation efficiency of the whole port. Traditionally, this problem is formulated as an offline optimisation problem, whose solutions are, however, impractical... Read More about Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.