Outputs (126)

Understanding the Interplay Between the Digital and the Physical in Shared Augmented Reality Gaming: Probing through Urban Legends (2025)
Journal Article
Xu, J., Luna, S. M., Tigwell, G. W., Lalone, N., Saker, M., Laato, S., Dunham, J., Wang, Y., Chamberlain, A., & Papangelis, K. (2025). Understanding the Interplay Between the Digital and the Physical in Shared Augmented Reality Gaming: Probing through Urban Legends. ACM Transactions on Computer-Human Interaction, https://doi.org/10.1145/3749841

Shared Augmented Reality (Shared AR) is an emerging technology that enables multiple users to interact synchronously within a collocated AR environment. Yet, there is limited research on the group interactions and dynamics in Shared AR, particularly... Read More about Understanding the Interplay Between the Digital and the Physical in Shared Augmented Reality Gaming: Probing through Urban Legends.

Embrace Angels: an Artistic Exploration of how Humans and Robots can Embrace (2025)
Presentation / Conference Contribution
Lancel, K., Maat, H., Ramchurn, R., Chamberlain, A., Higgins, A., Benford, S., Tennent, P., Woodward, K., Price, D., Giannachi, G., Garrett, R., & Kitsidis, C. (2025, June). Embrace Angels: an Artistic Exploration of how Humans and Robots can Embrace. Presented at Third UK AI Conference 2025, London, UK

Abstract (Poster - Video Presentation)
This video was presented at UK AI The Third UK AI Conference 2025, June 23 - 24, London, UK and relates to Embrace Angels.

Conference
https://uk-ai.org/ukai2025/

Acknowledgements
The Turing AI World Lea... Read More about Embrace Angels: an Artistic Exploration of how Humans and Robots can Embrace.

AI and Intelligent Synthetic Skin: Advancing Beyond Human Skin for Sensory Human-Robot Interaction (HRI) (2025)
Presentation / Conference Contribution
Zhou, F., Chamberlain, A., & Benford, S. (2025, June). AI and Intelligent Synthetic Skin: Advancing Beyond Human Skin for Sensory Human-Robot Interaction (HRI). Poster presented at Third UK AI Conference 2025, London, UK

We present a wearable toolkit designed to enhance shared perception between humans and robots, facilitating real-time data collection to support embedded AI based applications. Advancements in wearable sensor-based technologies mean there are opportu... Read More about AI and Intelligent Synthetic Skin: Advancing Beyond Human Skin for Sensory Human-Robot Interaction (HRI).

AI Lens: A Live Generative AI Camera System for Dynamic Image Transformation (2025)
Presentation / Conference Contribution
Ramchurn, R., Chamberlain, A., Higgins, A., Benford, S., Tennent, P., Woodward, K., Price, D., Giannachi, G., Garrett, R., Kitsidis, C., Lancel, K., & Maat, H. (2025, June). AI Lens: A Live Generative AI Camera System for Dynamic Image Transformation. Presented at Third UK AI Conference 2025, London, UK

Abstract (Poster - Video Presentation)
This paper introduces AI Lens, a novel AI-powered camera system that applies live generative transformations to video in real time. By replacing a traditional camera monitor with AI-generated imagery, the syste... Read More about AI Lens: A Live Generative AI Camera System for Dynamic Image Transformation.

Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication (2025)
Journal Article
Romero, M., Luckett, J., Dubern, J.-F., Figueredo, G. P., Ison, E., Carabelli, A. M., Scurr, D. J., Hook, A. L., Kammerling, L., Da Silva, A. C., Xue, X., Blackburn, C., Carlier, A., Vasilevich, A., Sudarsanam, P. K., Vermeulen, S., Winkler, D. A., Ghaemmaghami, A. M., De Boer, J., Alexander, M. R., & Williams, P. (2025). Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication. Nature Communications, 16(1), Article 5295. https://doi.org/10.1038/s41467-025-60567-x

Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofouling potential in industrial and healthcare settings. Since bacterial surface attachment is sensitive to surface topography, we experimentally surveyed... Read More about Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.

Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension (2025)
Presentation / Conference Contribution
Mojib Luna, S., Xu, J., Tigwell, G. W., LaLone, N., Saker, M., Chamberlain, A., Schwartz, D. I., & Papangelis, K. (2025, April). Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension. Presented at 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan

Tasks in augmented reality (AR), such as 3D interaction and instructional comprehension, are often designed for users with uniform sensory abilities. Such an approach, however, can overlook the more nuanced needs of Deaf and Hard of Hearing (DHH) use... Read More about Exploring Deaf And Hard of Hearing Peoples' Perspectives On Tasks In Augmented Reality: Interacting With 3D Objects And Instructional Comprehension.

Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition) (2025)
Presentation / Conference Contribution
Turchi, T., Malizia, A., Paternò, F., Borsci, S., Chamberlain, A., & Fish, A. (2025, March). Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). Presented at ACM 30th Conference on Intelligent User Interfaces (ACM IUI) 2025, Cagliari, Italy

As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses o... Read More about Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition).

Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations (2025)
Presentation / Conference Contribution
Chamberlain, A., Ngo, V., McGarry, G., Kucukyilmaz, A., Benford, S., & Higgins, A. (2025, February). Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations. Presented at Designing for Bodies: Practices, Imaginaries and Discourses, University of Southern Denmark, Kolding

In this piece we start to explore the ways in which we somatise our interaction with robots as a symbiotic system - both as human and robot, and as human-robot. We also consider the ways that we might want to take our physical nature (existence), for... Read More about Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations.

Human AI conversational systems: when humans and machines start to chat (2024)
Journal Article
Borsci, S., Chamberlain, A., Nichele, E., Bødker, M., & Turchi, T. (2024). Human AI conversational systems: when humans and machines start to chat. Personal and Ubiquitous Computing, 28(6), 857–860. https://doi.org/10.1007/s00779-024-01837-1

When humans and machines start to chat: beyond anthropocentrism

Digital and embedded artificial intelligent (AI) agents with conversational capabilities have gained significant attention in recent years [1, 2]. Using natural language communication... Read More about Human AI conversational systems: when humans and machines start to chat.

A method for the ethical analysis of brain-inspired AI (2024)
Journal Article
Farisco, M., Baldassarre, G., Cartoni, E., Leach, A., Petrovici, M. A., Rosemann, A., Salles, A., Stahl, B., & van Albada, S. J. (2024). A method for the ethical analysis of brain-inspired AI. Artificial Intelligence Review, 57(6), Article 133. https://doi.org/10.1007/s10462-024-10769-4

Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying th... Read More about A method for the ethical analysis of brain-inspired AI.