Professor PRAMINDA CALEB-SOLLY's Outputs (10)

Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction (2025)
Presentation / Conference Contribution
Benford, S., Schneiders, E., Martinez Avila, J. P., Caleb-Solley, P., Brundell, P. R., Castle-Green, S., Zhou, F., Garrett, R., Höök, K., Whatley, S., Marsh, K., & Tennent, P. (2025, March). Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction. Presented at HRI '25: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, Melbourne, Australia

As robots enter the messy human world so the vital matter of safety takes on a fresh complexion with physical contact becoming inevitable and even desirable. We report on an artistic-exploration of how dancers, working as part of a multidisciplinary... Read More about Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction.

Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives (2025)
Presentation / Conference Contribution
Cameron, H. R., Reyes-Cruz, G., Piskopani, A.-M., Barnard, P., Boudouraki, A., Caleb-Solly, P., Castle-Green, S., Fischer, J., Hyde, R., Kucukyilmaz, A., & Maior, H. A. (2025, April). Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives. Presented at CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan

Telepresence robots have the potential to change our experiences in galleries and museums, allowing for a range of hybrid interactions for visitors and museum professionals, improving accessibility, offering activities or information, and providing a... Read More about Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives.

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Presentation / Conference Contribution
Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023, July). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

Empowering future care workforces: scoping human capabilities to leverage assistive robotics (2023)
Presentation / Conference Contribution
O'Donovan, C., Caleb-Solly, P., Kumar, P., Russell, S., Sumpter, L., & Williams, R. (2023, July). Empowering future care workforces: scoping human capabilities to leverage assistive robotics. Presented at First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

How and what health and care professionals do will be changed by the use of robotics technologies in their workplaces. This paper reports provisional results of a 12-month scoping project in which we explained to people working in care sectors what e... Read More about Empowering future care workforces: scoping human capabilities to leverage assistive robotics.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Presentation / Conference Contribution
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023, July). Digital twins for human-assistive robot teams in ambient assisted living. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset (2023)
Presentation / Conference Contribution
Wu, Z., Moemeni, A., Caleb-Solly, P., & Castle-Green, S. (2023, June). Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. Presented at 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia

A large number of deep learning based object detection algorithms have been proposed and applied in a wide range of domains such as security, autonomous driving and robotics. In practical usage, objects being occluded are common, and can result in re... Read More about Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.

A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices (2023)
Presentation / Conference Contribution
Higgins, A., Llewellyn, A., Dures, E., & Caleb-Solly, P. (2023, May). A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices. Presented at 2023 IEEE International Conference on Robotics and Automation (ICRA), London

Previous research into using robots for pain man-agement has shown promise. However to date, there seems to have been little research investigating user requirements for robotic pain management devices which could be used by adults living with chroni... Read More about A Study into Understanding User Requirements to Inform the Design of Customizable Robotic Pain Management Devices.

Collision Design (2023)
Presentation / Conference Contribution
Marshall, J., Tennent, P., Li, C., Pacheco, C. N., Garrett, R., Tsaknaki, V., Höök, K., Caleb-Solly, P., & Benford, S. D. (2023, April). Collision Design. Presented at Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

Collision, "the violent encounter of a moving body with another", is poorly understood in HCI. When we discuss people colliding with the physical artifacts we create, or colliding with each other while using our systems, this is primarily treated as... Read More about Collision Design.

Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation (2023)
Presentation / Conference Contribution
Chen, J., Moemeni, A., & Caleb-Solly, P. (2023, March). Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. Presented at Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Stockholm, Sweden

Robot teleoperation is being explored in a number of application areas, where combining human adaptive intelligence and high precision of robots can provide access to dangerous or inaccessible places, or augment human dexterity. Using virtual reality... Read More about Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation.

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Presentation / Conference Contribution
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022, March). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. Presented at 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Sapporo, Japan

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.