All Outputs (4)

Effects of an unexpected and expected event on older adults’ autonomic arousal and eye fixations during autonomous driving (2020)
Journal Article
Stephenson, A. C., Eimontaite, I., Caleb-Solly, P., Morgan, P. L., Khatun, T., Davis, J., & Alford, C. (2020). Effects of an unexpected and expected event on older adults’ autonomic arousal and eye fixations during autonomous driving. Frontiers in Psychology, 11, Article 571961. https://doi.org/10.3389/fpsyg.2020.571961

© Copyright © 2020 Stephenson, Eimontaite, Caleb-Solly, Morgan, Khatun, Davis and Alford. Driving cessation for some older adults can exacerbate physical, cognitive, and mental health challenges due to loss of independence and social isolation. Fully... Read More about Effects of an unexpected and expected event on older adults’ autonomic arousal and eye fixations during autonomous driving.

The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults (2020)
Journal Article
Voinescu, A., Morgan, P. L., Alford, C., & Caleb-Solly, P. (2020). The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults. Transportation Research Part F: Traffic Psychology and Behaviour, 72, 244-263. https://doi.org/10.1016/j.trf.2020.05.003

© 2020 Elsevier Ltd The design of the traditional vehicle human-machine interfaces (HMIs) is undergoing major change as we move towards fully connected and automated vehicles (CAVs). Given the diversity of user requirements and preferences, it is vit... Read More about The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults.

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article
Caleb-Solly, P., Gupta, P., & McClatchey, R. (2020). Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods. Neural Computing and Applications, 32(16), 12351 - 12362. https://doi.org/10.1007/s00521-020-04737-6

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

Designing ethical social robots - A longitudinal field study with older adults (2020)
Journal Article
van Maris, A., Zook, N., Caleb-Solly, P., Studley, M., Winfield, A., & Dogramadzi, S. (2020). Designing ethical social robots - A longitudinal field study with older adults. Frontiers in Robotics and AI, 7(1), https://doi.org/10.3389/frobt.2020.00001

Emotional deception and emotional attachment are regarded as ethical concerns in human robot interaction. Considering these concerns is essential, particularly as little is known about longitudinal effects of interactions with social robots. We ran a... Read More about Designing ethical social robots - A longitudinal field study with older adults.