Abstract
Driving is a crucial function to maintain independence for many adults, however, changes in health may affect driving skills. Researchers have sought to understand how the risk from driving changes as people age or experience cognitive decline. Previous studies, whilst recognising a number of cognitive factors that correlate with driving, have not found statistical evidence that could support using any specific cognitive test to support fitness to drive assessments. In-car monitoring technology (telematics) can provide a low-cost way to monitor driving risk by understanding measurable aspects of driving which can be correlated to risk behaviours, for instance: smoothness of driving, locationally excessive speeds and aggressive acceleration behaviours.
In this paper we present preliminary results from a naturalistic study that uses telematics to collect driving behaviour data and investigate the relationship between measurable driving factors and neurological conditions under normal driving conditions.
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Notes
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World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent. 2014.
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This utilised a 100 m threshold in total distance to ensure only valid journeys where used for the study.
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Acknowledgements
This project would like to acknowledge funding from UK’s Road Safety Trust (https://www.roadsafetytrust.org.uk/funded-projects/the-floow-ltd) and UKRI Ageing Catalyst grant whose support has made this collaboration and research possible.
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Lanfranchi, V. et al. (2023). Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2023. Lecture Notes in Computer Science, vol 14049. Springer, Cham. https://doi.org/10.1007/978-3-031-35908-8_18
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