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Ergonomics. 2016 Sep;59(9):1158-70. doi: 10.1080/00140139.2015.1127428. Epub 2016 Apr 25.

In-car usage-based insurance feedback strategies. A comparative driving simulator study.

Author information

1
a Department of Clinical Neuropsychology and Development, Faculty of Behavioural and Social Sciences , University of Groningen , Groningen , The Netherlands.
2
b Department of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering , Delft University of Technology , Delft , The Netherlands.
3
c Department of Engineering Systems and Services, Faculty of Technology, Policy, and Management , Delft University of Technology , Delft , The Netherlands.

Abstract

Usage-Based Insurances (UBI) enable policyholders to actively reduce the impact of vehicle insurance costs by adopting a safer and more eco-friendly driving style. UBI is especially relevant for younger drivers, who are a high-risk population. The effectiveness of UBI should be enhanced by providing in-car feedback optimised for individual drivers. Thirty young novice drivers were therefore invited to complete six experimental drives with an in-car interface that provided real-time information on rewards gained, their driving behaviour and the speed limit. Reward size was either displayed directly in euro, indirectly as a relatively large amount of credits, or as a percentage of the maximum available bonus. Also, interfaces were investigated that provided partial information to reduce the potential for driver distraction. Compared to a control no-UBI condition, behaviour improved similarly across interfaces, suggesting that interface personalisation after an initial familiarisation period could be feasible without compromising feedback effectiveness. Practitioner Summary: User experiences and effects on driving behaviour of six in-car interfaces were compared. The interface provided information on driving behaviour and rewards in a UBI setting. Results suggest that some personalisation of interfaces may be an option after an initial familiarisation period as driving behaviour improved similarly across interfaces.

KEYWORDS:

Intelligent speed advisor; Pay-As-You-Drive; behavioural feedback; driver distraction; intelligent transport system

PMID:
26653393
DOI:
10.1080/00140139.2015.1127428
[Indexed for MEDLINE]

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