Outputs (9)

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.

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.

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.

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.

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., Rodríguez-Capitán, J., Jiménez-Navarro, M., López-Rubio, E., & 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.

From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound (2021)
Journal Article
(2021). From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound. Personal and Ubiquitous Computing, 25(4), 617-620. https://doi.org/10.1007/s00779-021-01554-z

This introduction brings together a range of research, a majority of which was presented at the Audio Mostly conference hosted at the University of Nottingham. The conference brings together a range of researchers, industry, designers and educators t... Read More about From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound.

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.

“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., Dowthwaite, L., Portillo, V., Jirotka, M., & 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.