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Outputs (2170)

Making Sense of Public Space for Robot Design (2025)
Presentation / Conference Contribution
Pelikan, H. R. M., Mutlu, B., & Reeves, S. (2025, March). Making Sense of Public Space for Robot Design. Presented at HRI 2025, Melbourne, Australia

If robots are to be deployed in public places, we need to understand what factors their design should consider. Informed by sociological studies of urban settings, particularly the work of William H. Whyte and the Street Life Project, we describe fou... Read More about Making Sense of Public Space for Robot Design.

FAIR African brain data: challenges and opportunities (2025)
Journal Article
Wogu, E., Ogoh, G., Filima, P., Nsaanee, B., Caron, B., Pestilli, F., & Eke, D. (2025). FAIR African brain data: challenges and opportunities. Frontiers in Neuroinformatics, 19, Article 1530445. https://doi.org/10.3389/fninf.2025.1530445

Introduction: The effectiveness of research and innovation often relies on the diversity or heterogeneity of datasets that are Findable, Accessible, Interoperable and Reusable (FAIR). However, the global landscape of brain data is yet to achieve desi... Read More about FAIR African brain data: challenges and opportunities.

Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure (2025)
Journal Article
Tan, A., Remenyte-Prescott, R., Egede, J., Sharkey, D., & Valstar, M. (in press). Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure. Reliability Engineering & System Safety,

About 10% of newborns need a life support procedure following birth. However, this procedure has a considerable error rate of more than 25%, which may compromise its safety and reliability. Continuous studies to improve its performance are carried ou... Read More about Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure.

H is for Human and How (Not) To Evaluate Qualitative Research in HCI (2025)
Journal Article
Crabtree, A. (in press). H is for Human and How (Not) To Evaluate Qualitative Research in HCI. Human-Computer Interaction,

Concern has recently been expressed by HCI researchers as to the inappropriate treatment of qualitative studies through a positivistic mode of evaluation that places emphasis on measurement and metrics. This contrasts with the nature of qualitative r... Read More about H is for Human and How (Not) To Evaluate Qualitative Research in HCI.

Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model (2025)
Journal Article
Yu, L., Kok, Y. E., Parry, L., Özcan, E., & Maskery, I. (2025). Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model. Additive Manufacturing, Article 104712. https://doi.org/10.1016/j.addma.2025.104712

Advances in additive manufacturing (AM) have facilitated the fabrication of cellular structures inspired by those in the natural world. But the design of complex, tessellating cellular structures remains a challenge for human designers, and only a sm... Read More about Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model.

Epimorphisms and acyclic types in univalent foundations (2025)
Journal Article
Buchholtz, U., De Jong, T., & Rijke, E. (in press). Epimorphisms and acyclic types in univalent foundations. Journal of Symbolic Logic, 1-36. https://doi.org/10.1017/jsl.2024.76

We characterize the epimorphisms in homotopy type theory (HoTT) as the fiberwise acyclic maps and develop a type-theoretic treatment of acyclic maps and types in the context of synthetic homotopy theory as developed in univalent foundations. We prese... Read More about Epimorphisms and acyclic types in univalent foundations.

Into the Here and Now: Explorations within a New Acoustic Virtual Reality (2025)
Journal Article
Cliffe, L. (2025). Into the Here and Now: Explorations within a New Acoustic Virtual Reality. Leonardo, 118-124. https://doi.org/10.1162/leon_a_02651

The author reflects upon listeners’ experiences and the practice of developing a number of audio augmented reality sound installations deployed between 2019 and 2020. The installations realized audio augmented objects: physical real-world objects aug... Read More about Into the Here and Now: Explorations within a New Acoustic Virtual Reality.

Locating the Ethics of ChatGPT — Ethical Issues as Affordances in AI Ecosystems (2025)
Journal Article
Carsten Stahl, B. (2025). Locating the Ethics of ChatGPT — Ethical Issues as Affordances in AI Ecosystems. Information, 16(2), Article 104. https://doi.org/10.3390/info16020104

ChatGPT is a high-profile technology that has inspired broad discussions about its capabilities and likely consequences. There has been much debate concerning ethical issues that it raises which are typically described as potentially harmful (or bene... Read More about Locating the Ethics of ChatGPT — Ethical Issues as Affordances in AI Ecosystems.

Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis (2025)
Journal Article
Aguilar-Bejarano, E., Özcan, E., Rit, R. K., Li, H., Lam, H. W., Moore, J. C., Woodward, S., & Figueredo, G. (2025). Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis. iScience, 28(3), Article 111881. https://doi.org/10.1016/j.isci.2025.111881

Optimization of metal-ligand asymmetric catalysts is usually done by empirical trials, where the ligand is arbitrarily modified, and the new catalyst is re-evaluated in the lab. This procedure is not efficient and alternative strategies are highly de... Read More about Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis.