Outputs (28)

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.

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.

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.

Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations (2024)
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.

Understanding user needs of personalisation-based automated systems with development and application of novel ideation cards (2024)
Presentation / Conference Contribution
Duvnjak, J., Kucukyilmaz, A., & Houghton, R. (2024, July). Understanding user needs of personalisation-based automated systems with development and application of novel ideation cards. Presented at 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024), Nice, France

Personalisation is a commonly utilised technology in socially focused online platforms. It has gathered widespread usage through its ability to match a system to the needs of users through their data. This allows systems to be more user-friendly or e... Read More about Understanding user needs of personalisation-based automated systems with development and application of novel ideation cards.

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.

Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics (2023)
Presentation / Conference Contribution
Zhou, F., Price, D., Pacchierotti, C., & Kucukyilmaz, A. (2023, July). Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics. Poster presented at IEEE World Haptics Conference, Delft, Netherlands

This work-in-progress paper presents a prototyping toolkit developed to design haptic interaction experiences. With developments in wearable and sensor technologies, new opportunities arise everyday to create rich haptic interaction experiences actin... Read More about Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics.

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.

Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters (2023)
Presentation / Conference Contribution
Wang, Y., Papangelis, K., Lykourentzou, I., Saker, M., Chamberlain, A., Khan, V.-J., Liang, H.-N., & Yue, Y. (2023, April). Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters. Presented at CHI '23 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

Crowdsourcing in China is a thriving industry. Among its most interesting structures, we find crowdfarms, in which crowdworkers self-organize as small organizations to tackle macrotasks. Little, however, is known as to which practices these crowdfarm... Read More about Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters.

Resolving conflicts during human-robot co-manipulation (2023)
Presentation / Conference Contribution
Al-Saadi, Z., Hamad, Y. M., Aydin, Y., Kucukyilmaz, A., & Basdogan, C. (2023, March). Resolving conflicts during human-robot co-manipulation. Presented at ACM/IEEE International Conference on Human-Robot Interaction, Stockholm, Sweden

This paper proposes a machine learning (ML) approach to detect and resolve motion conflicts that occur between a human and a proactive robot during the execution of a physically collaborative task. We train a random forest classifier to distinguish b... Read More about Resolving conflicts during human-robot co-manipulation.

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.

Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project (2022)
Journal Article
Portillo, V., Craigon, P., Dowthwaite, L., Greenhalgh, C., & Pérez-Vallejos, E. (2022). Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project. Journal of Responsible Technology, 12, Article 100045. https://doi.org/10.1016/j.jrt.2022.100045

Integration of Responsible Research and Innovation (RRI) principles into a research project is key to ensure outputs are ethically acceptable and socially desirable. However, translating RRI principles into practice is challenging as there are no rec... Read More about Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project.

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.

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning (2022)
Presentation / Conference Contribution
Serhan, B., Pandya, H., Kucukyilmaz, A., & Neumann, G. (2022, May). Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. Presented at 2022 IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, USA

Efficient robotic manipulation of objects for sorting and searching often rely upon how well the objects are perceived and the available grasp poses. The challenge arises when the objects are irregular, have similar visual features (e.g., textureless... Read More about Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence (2022)
Presentation / Conference Contribution
Boudouraki, A., Reeves, S., Fischer, J. E., & Rintel, S. (2022, April). Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence. Presented at CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans LA USA

Mobile Robotic Telepresence (MRP) systems are remotely controlled, mobile videoconferencing devices that allow the remote user to move independently and have a physical presence in the environment. This paper presents a longitudinal study of MRP use... Read More about Mediated Visits: Longitudinal Domestic Dwelling with Mobile Robotic Telepresence.

Demonstrating Interaction: The Case of Assistive Technology (2022)
Journal Article
Reyes-Cruz, G., Fischer, J. E., & Reeves, S. (2022). Demonstrating Interaction: The Case of Assistive Technology. ACM Transactions on Computer-Human Interaction, 29(5), 1-37. https://doi.org/10.1145/3514236

Technology "demos"have become a staple in technology design practice, especially for showcasing prototypes or systems. However, demonstrations are also commonplace and multifaceted phenomena in everyday life, and thus have found their way into empiri... Read More about Demonstrating Interaction: The Case of Assistive Technology.

Room to breathe: Using adaptive architecture to examine the relationship between alexithymia and interoception (2021)
Journal Article
Abdulhamid, H., Jäger, N., Schnädelbach, H., & Smith, A. D. (2022). Room to breathe: Using adaptive architecture to examine the relationship between alexithymia and interoception. Journal of Psychosomatic Research, 153, Article 110708. https://doi.org/10.1016/j.jpsychores.2021.110708

Objective: Individuals with alexithymia experience difficulties interpreting emotional states in self and others, which has been associated with interoceptive impairment. Current theories are primarily based on subjective and conscious measures of in... Read More about Room to breathe: Using adaptive architecture to examine the relationship between alexithymia and interoception.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis (2021)
Journal Article
Laparidou, D., Curtis, F., Akanuwe, J., Goher, K., Niroshan Siriwardena, A., & Kucukyilmaz, A. (2021). Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 181. https://doi.org/10.1186/s12984-021-00976-3

Background: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee... Read More about Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.