Outputs (20)

Hyper-heuristics: theory and applications (2018)
Book
Pillay, N., & Qu, R. (2018). Hyper-heuristics: theory and applications. Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-319-96514-7

This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, pro... Read More about Hyper-heuristics: theory and applications.

Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling (2019)
Journal Article
Gibbs, J., French, A., Murchie, E., Wells, D., Pound, M., & Pridmore, T. (2020). Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(6), 1907-1917. https://doi.org/10.1109/TCBB.2019.2896908

Plant phenotyping is the quantitative description of a plant’s physiological, biochemical and anatomical status which can be used in trait selection and helps to provide mechanisms to link underlying genetics with yield. Here, an active vision- based... Read More about Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling.

Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images (2021)
Journal Article
Calderon-Ramirez, S., Yang, S., Moemeni, A., Colreavy-Donnelly, S., Elizondo, D. A., Oala, L., …Molina-Cabello, M. A. (2021). Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images. IEEE Access, 9, 85442 - 85454. https://doi.org/10.1109/ACCESS.2021.3085418

In this work we implement a COVID-19 infection detection system based on chest Xray images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer aided diagnosis tools in medical applications. Model estimations with h... Read More about Improving Uncertainty Estimation With Semi-supervised Deep Learning for COVID-19 Detection Using Chest X-ray Images.

Intelligent control of exoskeletons through a novel learning-from-demonstration method (2020)
Presentation / Conference Contribution
Ugur, E., Samur, E., Ugurlu, B., Erol Barkana, D., Kucukyilmaz, A., & Bebek, O. (2020, September). Intelligent control of exoskeletons through a novel learning-from-demonstration method. Poster presented at Cybathlon Symposium 2020, Zurich, Switzerland

We present a novel concept that enables the intelligent and adaptive control of exoskeletons through exploiting our state-of-the-art learning from demonstration (LfD) method, namely Conditional Neural Movement Primitives (CNMPs) [1], on our integrate... Read More about Intelligent control of exoskeletons through a novel learning-from-demonstration method.

ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments (2022)
Presentation / Conference Contribution
Fatehi, K., Torres, M. T., & Kucukyilmaz, A. (2022). ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. In Proceedings of Interspeech 2022 (3523-3527). https://doi.org/10.21437/Interspeech.2022-10270

Recent improvements in Automatic Speech Recognition (ASR) systems obtain extraordinary results. However, there are specific domains where training data can be either limited or not representative enough, which are known as Low-Resource Environments (... Read More about ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments.

A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation (2022)
Journal Article
Borsci, S., Schmettow, M., Malizia, A., Chamberlain, A., & van der Velde, F. (2023). A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation. Personal and Ubiquitous Computing, 27, 317–330. https://doi.org/10.1007/s00779-022-01690-0

The Bot Usability Scale (BUS) is a standardised tool to assess and compare the satisfaction of users after interacting with chatbots to support the development of usable conversational systems. The English version of the 15-item BUS scale (BUS-15) wa... Read More about A confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation.

GPT4 : The Ultimate Brain (2022)
Preprint / Working Paper
Adesso, G. GPT4 : The Ultimate Brain

We introduce a powerful general probabilistic theory, GPT4, that extends classical and quantum theories to include higher-dimensional probabilistic models. GPT4 results from the four-fold integration of GPT in physics (Generalized Probabilistic T... Read More about GPT4 : The Ultimate Brain.

“It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency (2019)
Journal Article
Webb, H., Patel, M., Rovatsos, M., Davoust, A., Ceppi, S., Koene, A., …Cano, M. (2019). “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency. Journal of Information, Communication and Ethics in Society, 17(2), 210-228. https://doi.org/10.1108/jices-11-2018-0092

Purpose The purpose of this paper is to report on empirical work conducted to open up algorithmic interpretability and transparency. In recent years, significant concerns have arisen regarding the increasing pervasiveness of algorithms and the impac... Read More about “It would be pretty immoral to choose a random algorithm”: Opening up algorithmic interpretability and transparency.

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.

Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale (2023)
Journal Article
Borsci, S., Prati, E., Malizia, A., Schmettow, M., Chamberlain, A., & Federici, S. (2023). Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale. Personal and Ubiquitous Computing, 27(6), 2161-2170. https://doi.org/10.1007/s00779-023-01731-2

Chatbot-based tools are becoming pervasive in multiple domains from commercial websites to rehabilitation applications. Only recently, an eleven-item satisfaction inventory was developed (the ChatBot Usability Scale, BUS-11) to help designers in the... Read More about Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Presentation / Conference Contribution
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

Explainable AI for the Arts: XAIxArts (2023)
Presentation / Conference Contribution
Bryan-Kinns, N., Ford, C., Chamberlain, A., Benford, S. D., Kennedy, H., Li, Z., …Rezwana, J. (2023). Explainable AI for the Arts: XAIxArts. In C&C '23: Proceedings of the 15th Conference on Creativity and Cognition. https://doi.org/10.1145/3591196.3593517

This first workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the rol... Read More about Explainable AI for the Arts: XAIxArts.

Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice (2023)
Presentation / Conference Contribution
Portillo, V., Greenhalgh, C., Craigon, P. J., & Ten Holter, C. (2023). Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3599721

Researchers often find it hard to know where, when and how to start when applying Responsible Innovation approaches to their own research projects and proposals. Based on experience supporting a range of researchers and projects, we have developed a... Read More about Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., …Marshall, J. (2023). Five Provocations for a More Creative TAS. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599709

Conventional wisdom has it that trustworthy autonomous systems (AS) should be explainable, dependable, controllable and safe tools for humans to use. Reflecting on a portfolio of artistic applications of TAS leads us adopt an alternative stance and t... Read More about Five Provocations for a More Creative TAS.

TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals (2023)
Presentation / Conference Contribution
Schneiders, E., Chamberlain, A., Fischer, J. E., Benford, S., Castle-Green, S., Ngo, V., …Mills, D. (2023). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3597517

Cat Royale is an artist-led exploration of trustworthy autonomous systems (TAS) created by the TAS Hub's creative ambassadors Blast Theory. A small community of cats inhabits a purpose built 'cat utopia' at the centre of which a robot arm tries to en... Read More about TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals.

A Practical Taxonomy of TAS-related Usecase Scenarios (2023)
Presentation / Conference Contribution
Masters, P., Young, V., Chamberlain, A., Weerawardhana, S., McKenna, P. E., Lu, Y., …Moreau, L. (2023). A Practical Taxonomy of TAS-related Usecase Scenarios. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597523

This paper proposes a taxonomy of experimental usecase scenarios to facilitate research into trustworthy autonomous systems (TAS). Unable to identify an open-access repository of usecases to support our research, the project team embarked on developm... Read More about A Practical Taxonomy of TAS-related Usecase Scenarios.

Metaverse: The Vision for the Future (2022)
Presentation / Conference Contribution
Xu, J., Papangelis, K., Dunham, J., Goncalves, J., LaLone, N. J., Chamberlain, A., …Schwartz, D. I. (2022). Metaverse: The Vision for the Future. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (1-3). https://doi.org/10.1145/3491101.3516399

In recent years, the notion of the Metaverse has become the focus of a growing body of work in the industry. However, there is no consensus on the conceptualization in academia. To date, much of this attention has revolved around technological challe... Read More about Metaverse: The Vision for the Future.

Socio-Technical Trust For Multi-Modal Hearing Assistive Technology (2023)
Presentation / Conference Contribution
Williams, J., Azim, T., Piskopani, A. M., Chamberlain, A., & Zhang, S. (2023). Socio-Technical Trust For Multi-Modal Hearing Assistive Technology. In IEEE ICASSPW 2023 Workshop Proceedings. https://doi.org/10.1109/ICASSPW59220.2023.10193586

The landscape of opportunity is rapidly changing for audio-visual (AV) hearing assistive technology. While hearing assistive devices, such as hearing aids, have traditionally been developed for populations of deaf and hard of hearing (DHH) communitie... Read More about Socio-Technical Trust For Multi-Modal Hearing Assistive Technology.

Communication, Collaboration, and Coordination in a Co-located Shared Augmented Reality Game: Perspectives From Deaf and Hard of Hearing People (2024)
Presentation / Conference Contribution
Luna, S. M., Xu, J., Papangelis, K., Tigwell, G. W., Lalone, N., Saker, M., …Wang, Y. (2024). Communication, Collaboration, and Coordination in a Co-located Shared Augmented Reality Game: Perspectives From Deaf and Hard of Hearing People. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA (1-14). https://doi.org/10.1145/3613904.3642953

Co-located collaborative shared augmented reality (CS-AR) environments have gained considerable research attention, mainly focusing on design, implementation, accuracy, and usability. Yet, a gap persists in our understanding regarding the accessibili... Read More about Communication, Collaboration, and Coordination in a Co-located Shared Augmented Reality Game: Perspectives From Deaf and Hard of Hearing People.

Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations (2024)
Presentation / Conference Contribution
Turchi, T., Malizia, A., Paternò, F., Borsci, S., & Chamberlain, A. (2024, March). Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations. Presented at International Conference on Intelligent User Interfaces (ACM)

As the integration of Artificial Intelligence into daily decision-making processes intensifies, the need for clear communication between humans and AI systems becomes crucial. The Adaptive XAI (AXAI) workshop focuses on the design and development of... Read More about Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations.