Using UX, AI and Digital Twins for Safe Vehicle Operation

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Please note: you will automatically be entered into the competition for the Full Award, unless you state otherwise in your application.

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

References

Forte, S, Mc Cann, J, Wallace, JG, Motawa, I, McKane, M, McChesney, I, Bond, RR & Martinez Carracedo, J 2023, A Digital-Twin Pipeline for the Optimisation of Marine Outfitting. in Proceedings of 2023 IEEE International Conference on Digital Twin (Digital Twin 2023). IEEE, 2023 IEEE International Conference on Digital Twin (Digital Twin 2023), Portsmouth, United Kingdom, 28/08/23.

Ferris, L., Bond, R., McNeice, L., Grimley, A., Taylor, A., Magee, J., Lyons, F. and Charles, D., 2018, July. Virtual reality simulation and eye tracking to assess hazard perception of car drivers. In Proceedings of the 32nd International BCS Human Computer Interaction Conference 32 (pp. 1-4).

Booth, FG, R Bond, R, D Mulvenna, M, Cleland, B, McGlade, K, Rankin, D, Wallace, J & Black, M 2021, 'Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering: A Comparison of Prescribing Behaviours Between Practice Types', Scientific Reports, vol. 11, no. 1, 18289, pp. 1-15. https://doi.org/10.1038/s41598-021-97716-3

Rankin, D, Black, M, Flanagan, B, Hughes, C, Moore, A, Hoey, L, Wallace, J, Gill, C, Carlin, P, Molloy, A, Cunningham, C & McNulty, H 2020, 'Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study', JMIR Medical Informatics, vol. 8, no. 9, e20995, pp. 1-23. https://doi.org/10.2196/20995

Johnston, V, Black, M & Wallace, JG 2020, A Holistic UX Methodological Framework for Measuring the Aspects of How Dynamic, Adaptive and Intelligent a Software Solution is and Make Recommendations for Improvement. in Collaborative European Research Conference (CERC 2020).

Wallace, J, Mulvenna, M, Martin, S, Stephens, S & Burns, W 2010, ICT Interface Design for Ageing People and People with Dementia. in M Mulvenna & CD Nugent (eds), Supporting People with Dementia Using Pervasive Health Technologies. Springer, pp. 165-188. https://doi.org/10.1007/978-1-84882-551-2

Bibliography

M. Jensen, J. Wagner and K. Alexander, 2011, October, Analysis of in-vehicle driver behaviour data for improved safety, International Journal of Vehicle Safety, Vol. 5, No. 3, pp 197-212

Van Laerhoven, K., Aidoo, K.A. and Lowette, S., 2001, October. Real-time analysis of data from many sensors with neural networks. In Proceedings fifth international symposium on wearable computers (pp. 115-122). IEEE.

Yuan-Lin Chen and Wei-Jen Lee, 2011, Safety distance warning system with a novel algorithm for vehicle safety braking distance calculating, International Journal of Vehicle Safety, Vol. 5, No. 3, pp 213-231

A.Hamish JamsonNatashaMerat, 2005, March, Surrogate in-vehicle information systems and driver behaviour: Effects of visual and cognitive load in simulated rural driving, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 8, Issue 2, pp 79-96.

S.HelmanN.Reed1, 2015, February, Validation of the driver behaviour questionnaire using behavioural data from an instrumented vehicle and high-fidelity driving simulator, Accident Analysis & Prevention, Volume 75, pp. 245-251

Ahmed Al-Hussein W, Mat Kiah ML, Lip Yee P, Zaidan BB. 2021. A systematic review on sensor-based driver behaviour studies: coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future directions. PeerJ Computer Science 7:e632