Outputs (32)

Performance metrics outperform physiological indicators in robotic teleoperation workload assessment (2024)
Journal Article
Odoh, G., Landowska, A., Crowe, E. M., Benali, K., Cobb, S., Wilson, M. L., Maior, H. A., & Kucukyilmaz, A. (2024). Performance metrics outperform physiological indicators in robotic teleoperation workload assessment. Scientific Reports, 14(1), Article 30984. https://doi.org/10.1038/s41598-024-82112-4

Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which are difficult or impossible for a human operator. However, in complex scenarios, such as nuclear waste management or disaster response, full automation... Read More about Performance metrics outperform physiological indicators in robotic teleoperation workload assessment.

An overview of high-resource automatic speech recognition methods and their empirical evaluation in low-resource environments (2024)
Journal Article
Fatehi, K., Torres Torres, M., & Kucukyilmaz, A. (2025). An overview of high-resource automatic speech recognition methods and their empirical evaluation in low-resource environments. Speech Communication, 167, Article 103151. https://doi.org/10.1016/j.specom.2024.103151

Deep learning methods for Automatic Speech Recognition (ASR) often rely on large-scale training datasets, which are typically unavailable in low-resource environments (LREs). This lack of sufficient and representative training data poses a significan... Read More about An overview of high-resource automatic speech recognition methods and their empirical evaluation in low-resource environments.

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

What you hear is what you see? Perspectives on modalities in sound and music interaction (2024)
Journal Article
Iber, M., Enge, K., Rönnberg, N., Neidhardt, A., Schnell, N., Pollack, K., kallionpää, M., & Chamberlain, A. (2024). What you hear is what you see? Perspectives on modalities in sound and music interaction. Personal and Ubiquitous Computing, 28, 655-656. https://doi.org/10.1007/s00779-024-01835-3

Special issue: Perspectives on Modalities in Sound and Music Interaction

Issue Editors: Michael Iber, Kajetan Enge, Niklas Rönnberg, Annika Neidhardt, Norbert Schnell, Katharina Pollack, Maria Kallionpää, Alan Chamberlain

Full Contents
https:... Read More about What you hear is what you see? Perspectives on modalities in sound and music interaction.

Making of an Adaptive Podcast that Engenders Trust through Data Negotiability (2024)
Presentation / Conference Contribution
Sailaja, N., Crabtree, A., Lodge, T., Chamberlain, A., Coulton, P., Pilling, M., & Forrester, I. (2024, June). Making of an Adaptive Podcast that Engenders Trust through Data Negotiability. Presented at IMX 2024 - Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, Stockholm, Sweden

As novel media experiences turn towards audience personal data for enhancement, a range of socio-technical challenges that confront their adoption into the everyday lives of audiences are simultaneously surfaced. Podcasts, being the latest member of... Read More about Making of an Adaptive Podcast that Engenders Trust through Data Negotiability.

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., Chamberlain, A., Laato, S., Dunham, J., & Wang, Y. (2024, May). Communication, Collaboration, and Coordination in a Co-located Shared Augmented Reality Game: Perspectives From Deaf and Hard of Hearing People. Presented at CHI Conference on Human Factors in Computing Systems (CHI ’24), Honolulu, HI, USA

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 29th International Conference on Intelligent User Interfaces, Greenville, South Carolina, USA

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.

FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience (2023)
Presentation / Conference Contribution
Jacobs, R., Spence, J., Abbott, F., Chamberlain, A., Heim, W., Yemaoua Dayo, A., Kemp, D., Benford, S., Price, D., Shackford, R., Robson, J., Locke, C., & King, J. (2023, October). FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience. Presented at Mindtrek '23: 26th International Academic Mindtrek Conference, Tampere, Finland

This paper explores the unique methods and strategies employed by a team of artists, in collaboration with engineers, programmers, a climate scientist, researchers and members of the public, who have come together to create the Future Machine, with t... Read More about FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience.

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, August). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. Presented at Interspeech 2023, Dublin, Ireland

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.

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, July). Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice. Presented at First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

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.

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., Dowthwaite, L., Luff, P., & Moreau, L. (2023, July). A Practical Taxonomy of TAS-related Usecase Scenarios. Presented at Proceedings of the First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

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.

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., Kucukyilmaz, A., Barnard, P., Row Farr, J., Adams, M., Tandavanitj, N., Devlin, K., Mancini, C., & Mills, D. (2023, July). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. Presented at First International Symposium on Trustworthy Autonomous Systems (TAS 23), Edinburgh, UK

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.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., Ramchurn, R., & Marshall, J. (2023, July). Five Provocations for a More Creative TAS. Presented at First International Symposium on Trustworthy Autonomous Systems (TAS 23), Edinburgh, UK

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.

Explainable AI for the Arts: XAIxArts (2023)
Presentation / Conference Contribution
Bryan-Kinns, N., Ford, C., Chamberlain, A., Benford, S. D., Kennedy, H., Li, Z., Qiong, W., Xia, G. G., & Rezwana, J. (2023, June). Explainable AI for the Arts: XAIxArts. Presented at 15th Conference on Creativity and Cognition (C&C 23), New York, NY

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.

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, June). Socio-Technical Trust For Multi-Modal Hearing Assistive Technology. Presented at ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings, Rhodes Island, Greece

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.

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.

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.

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., Tandavanitj, N., & Adams, M. (2022, December). Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems. Presented at Proceedings of the Ninth International Conference on Animal-Computer Interaction, Newcastle, UK

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.

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, September). ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. Presented at Interspeech 2022, Incheon, Korea

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.