Automatic report-based labelling of clinical EEGs for classifier training (2022)
Conference Proceeding
Western, D., Weber, T., Kandasamy, R., May, F., Taylor, S., Zhu, Y., & Canham, L. (2022). Automatic report-based labelling of clinical EEGs for classifier training. In 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). https://doi.org/10.1109/SPMB52430.2021.9672295

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.

Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots (2021)
Conference Proceeding
Winkle, K., Caleb-Solly, P., Leonards, U., Turton, A., & Bremner, P. (2021). Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots. https://doi.org/10.1145/3434073.3444666

In this paper we apply the recent concept of robot Ethical Risk Assessment to an exemplar Socially Assistive Robot (SAR); specifically considering ethical risks posed by anthropomorphism in this context. We draw on two complimentary studies to demons... Read More about Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.

Towards an ontological framework for environmental survey hazard analysis of autonomous systems (2021)
Conference Proceeding
Caleb-Solly, P., & Harper, C. (2021). Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

This paper presents current progress in the development of Environmental Survey Hazard Analysis (ESHA), a method of preliminary hazard identification aimed at autonomous system application problems. In addition to performing their design mission, aut... Read More about Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

The impact of affective verbal expressions in social robots (2020)
Conference Proceeding
van Maris, A., Sutherland, A., Mazel, A., Dogramadzi, S., Zook, N., Studley, M., …Caleb-Solly, P. (2020). The impact of affective verbal expressions in social robots. . https://doi.org/10.1145/3371382.3378358

This research investigates whether there is an ethical concern in robots misrepresenting their internal state through speech. Participants were asked to discuss their food preferences with a robot, where the robot would either respond through facts o... Read More about The impact of affective verbal expressions in social robots.

Speech related accessibility issues in social robots (2020)
Conference Proceeding
van Maris, A., Dogramadzi, S., Zook, N., Studley, M., Winfield, A., & Caleb-Solly, P. (2020). Speech related accessibility issues in social robots. In HRI '20: ACM/IEEE International Conference on Human-Robot Interaction (505-507). https://doi.org/10.1145/3371382.3378379

This work describes an incidental finding from a longitudinal Human-Robot Interaction study that was investigating whether a robot showing emotions during interactions with older adults was perceived differently than to a robot that did not display e... Read More about Speech related accessibility issues in social robots.

Investigating the effectiveness of different interaction modalities for spatial human-robot interaction (2020)
Conference Proceeding
He, J., van Maris, A., & Caleb-Solly, P. (2020). Investigating the effectiveness of different interaction modalities for spatial human-robot interaction. . https://doi.org/10.1145/3371382.3378273

With the increasing use of social robots in real environments, one of the areas of research requiring more attention is the study of human-robot interaction (HRI) when a person and robot are moving close to each other. Understanding effective ways to... Read More about Investigating the effectiveness of different interaction modalities for spatial human-robot interaction.

A framework for semi-supervised adaptive learning for activity recognition in healthcare applications (2018)
Conference Proceeding
Gupta, P., & Caleb-Solly, P. (2018). A framework for semi-supervised adaptive learning for activity recognition in healthcare applications. In Engineering Applications of Neural Networks (3-15). https://doi.org/10.1007/978-3-319-98204-5_1

With the growing popularity of the Internet of Things and connected home products, potential healthcare applications in a smart-home context for assisted living are becoming increasingly apparent. However, challenges in performing real-time human act... Read More about A framework for semi-supervised adaptive learning for activity recognition in healthcare applications.