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Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies (2023)
Journal Article
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Jaouen, L., & Bécot, F. (2023). Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies. Journal of the Acoustical Society of America, 153(5), Article 2945. https://doi.org/10.1121/10.0019455

When designing passive sound-attenuation structures, one of the challenging problems that arise is optimally distributing acoustic porous materials within a design region so as to maximise sound absorption while minimising material usage. To identify... Read More about Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies.

Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems (2023)
Journal Article
Stahl, B. C. (2023). Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems. Scientific Reports, 13, Article 7586. https://doi.org/10.1038/s41598-023-34622-w

Intelligent systems that are capable of making autonomous decisions based on input from their environment have great potential to do good, but they also raise significant social and ethical concerns. The discourse on ethics and artificial intelligenc... Read More about Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems.

The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development (2023)
Journal Article
Turner, A., Hayes, S., & Sharkey, D. (2023). The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development. Sensors, 23(10), Article 4800. https://doi.org/10.3390/s23104800

Neurodevelopmental delay following extremely preterm birth or birth asphyxia is common but diagnosis is often delayed as early milder signs are not recognised by parents or clinicians. Early interventions have been shown to improve outcomes. Automati... Read More about The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development.

On Small Types in Univalent Foundations (2023)
Journal Article
de Jong, T., & Escardó, M. H. (2023). On Small Types in Univalent Foundations. Logical Methods in Computer Science, 19(2), 8:1-8:33. https://doi.org/10.46298/LMCS-19%282%3A8%292023

We investigate predicative aspects of constructive univalent foundations. By predicative and constructive, we respectively mean that we do not assume Voevodsky’s propositional resizing axioms or excluded middle. Our work complements existing work on... Read More about On Small Types in Univalent Foundations.

Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study (2023)
Journal Article
He, Y., Zamani, E., Yevseyeva, I., & Luo, C. (2023). Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study. Journal of Medical Internet Research, 25, Article e41748. https://doi.org/10.2196/41748

Background: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of... Read More about Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study.

Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters (2023)
Conference Proceeding
Wang, Y., Papangelis, K., Lykourentzou, I., Saker, M., Chamberlain, A., Khan, V., …Yue, Y. (2023). Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters. In CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3581418

Crowdsourcing in China is a thriving industry. Among its most interesting structures, we find crowdfarms, in which crowdworkers self-organize as small organizations to tackle macrotasks. Little, however, is known as to which practices these crowdfarm... Read More about Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters.

CHI2023 Course on How to Peer Review for CHI (and Beyond) (2023)
Conference Proceeding
Wilson, M. L. (2023). CHI2023 Course on How to Peer Review for CHI (and Beyond). In CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544549.3574183

A key challenge for people that are new to reviewing is pitching the review at the right level, and getting the tone and structure of a review right. This course aims to help participants understand a) the different expectations of different venues a... Read More about CHI2023 Course on How to Peer Review for CHI (and Beyond).

Your mileage may vary: Case study of a robotic telepresence pilot roll-out for a hybrid knowledge work organisation (2023)
Conference Proceeding
Boudouraki, A., Fischer, J. E., Reeves, S., & Rintel, S. (2023). Your mileage may vary: Case study of a robotic telepresence pilot roll-out for a hybrid knowledge work organisation. In CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544549.3573871

Organisations wishing to maintain employee satisfaction for hybrid collaboration need to explore flexible solutions that provide value for both remote and on-site employees. In this case study, we report on the roll-out of a telepresence robot pilot... Read More about Your mileage may vary: Case study of a robotic telepresence pilot roll-out for a hybrid knowledge work organisation.

Infrastructures for Virtual Volunteering at Online Music Festivals (2023)
Journal Article
Benford, S., Manninen, K., Martindale, S., Hazzard, A., Avila, J. P. M., Tennent, P., …Darzentas, D. P. (2023). Infrastructures for Virtual Volunteering at Online Music Festivals. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1-26. https://doi.org/10.1145/3579498

Volunteering benefits recipients, volunteers, communities, and society, while digital technologies establish new opportunities for virtual volunteering. We describe how volunteers transitioned the UK's long-established Oxjam grassroots music festival... Read More about Infrastructures for Virtual Volunteering at Online Music Festivals.

The Work to Make Facial Recognition Work (2023)
Journal Article
Greiffenhagen, C., Xu, X., & Reeves, S. (2023). The Work to Make Facial Recognition Work. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1-30. https://doi.org/10.1145/3579531

Facial recognition technology (FRT) has become a significant topic in CSCW owing to widespread adoption and related criticisms: the use of FRT is often considered an assault on privacy or a kind of neo-phrenology. This discussion has revolved around... Read More about The Work to Make Facial Recognition Work.

Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation (2023)
Journal Article
Ntourmas, G., Glock, F., Daoud, F., Schuhmacher, G., Chronopoulos, D., Özcan, E., & Ninić, J. (2023). Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation. Composites Part B: Engineering, 258, Article 110714. https://doi.org/10.1016/j.compositesb.2023.110714

Automatic Fibre Placement manufacturing processes have become the aerospace industry standard for the production of large-scale composite components. Besides the challenges linked with the manufacturing of such components, their design process is als... Read More about Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation.

Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network (2023)
Journal Article
Huang, B., Chen, G., Zhang, H., Hou, G., & Radenkovic, M. (2023). Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network. Science of the Total Environment, 878, Article 162826. https://doi.org/10.1016/j.scitotenv.2023.162826

Deep sea debris is any persistent man-made material that ends up in the deep sea. The scale and rapidly increasing amount of sea debris are endangering the health of the ocean. So, many marine communities are struggling for the objective of a clean,... Read More about Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network.

Type-theoretic approaches to ordinals (2023)
Journal Article
Kraus, N., Nordvall Forsberg, F., & Xu, C. (2023). Type-theoretic approaches to ordinals. Theoretical Computer Science, 957, Article 113843. https://doi.org/10.1016/j.tcs.2023.113843

In a constructive setting, no concrete formulation of ordinal numbers can simultaneously have all the properties one might be interested in; for example, being able to calculate limits of sequences is constructively incompatible with deciding extensi... Read More about Type-theoretic approaches to ordinals.

A systematic review of artificial intelligence impact assessments (2023)
Journal Article
Stahl, B. C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., …Wright, D. (2023). A systematic review of artificial intelligence impact assessments. Artificial Intelligence Review, 56(11), 12799 -12831. https://doi.org/10.1007/s10462-023-10420-8

Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, from energy distribution to marketing, but it also raises concerns about undesirable ethical and social consequences. AI impact assessm... Read More about A systematic review of artificial intelligence impact assessments.

An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem (2023)
Journal Article
Sonuç, E., & Özcan, E. (2023). An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem. Expert Systems with Applications, 224, Article 119956. https://doi.org/10.1016/j.eswa.2023.119956

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully been applied to many complex problems over the past decades. However, their performances often vary depending on the choice of the initial settings for thei... Read More about An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem.

Exploring ethics and human rights in artificial intelligence – A Delphi study (2023)
Journal Article
Stahl, B. C., Brooks, L., Hatzakis, T., Santiago, N., & Wright, D. (2023). Exploring ethics and human rights in artificial intelligence – A Delphi study. Technological Forecasting and Social Change, 191, Article 122502. https://doi.org/10.1016/j.techfore.2023.122502

Ethical and human rights issues of artificial intelligence (AI) are a prominent topic of research and innovation policy as well as societal and scientific debate. It is broadly recognised that AI-related technologies have properties that can give ris... Read More about Exploring ethics and human rights in artificial intelligence – A Delphi study.

Identifying bird species by their calls in Soundscapes (2023)
Journal Article
Maclean, K., & Triguero, I. (2023). Identifying bird species by their calls in Soundscapes. Applied Intelligence, 53, 21485-21499. https://doi.org/10.1007/s10489-023-04486-8

In many real data science problems, it is common to encounter a domain mismatch between the training and testing datasets, which means that solutions designed for one may not transfer well to the other due to their differences. An example of such was... Read More about Identifying bird species by their calls in Soundscapes.

Resolving conflicts during human-robot co-manipulation (2023)
Conference Proceeding
Al-Saadi, Z., Hamad, Y. M., Aydin, Y., Kucukyilmaz, A., & Basdogan, C. (2023). Resolving conflicts during human-robot co-manipulation. In HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (243-251). https://doi.org/10.1145/3568162.3576969

This paper proposes a machine learning (ML) approach to detect and resolve motion conflicts that occur between a human and a proactive robot during the execution of a physically collaborative task. We train a random forest classifier to distinguish b... Read More about Resolving conflicts during human-robot co-manipulation.

Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation (2023)
Conference Proceeding
Chen, J., Moemeni, A., & Caleb-Solly, P. (2023). Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. In HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (644-648). https://doi.org/10.1145/3568294.3580165

Robot teleoperation is being explored in a number of application areas, where combining human adaptive intelligence and high precision of robots can provide access to dangerous or inaccessible places, or augment human dexterity. Using virtual reality... Read More about Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation.