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

  • Chris Dijksterhuis
  • , Ben Lewis-Evans
  • , Bart Jelijs
  • , Oliver Tucha
  • , Dick de Waard
  • , Karel Brookhuis
  • University of Groningen, Faculty of Behavioural and Social Science
  • Delft University of Technology, Department of BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering
  • University of Groningen, Faculty of Behavioural and Social Sciences
  • Delft University fo Technology, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)1158-1170
Number of pages13
JournalErgonomics
Volume59
Issue number9
DOIs
Publication statusPublished - 25 Apr 2016
Externally publishedYes

Keywords

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

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

  • Entrepreneurship

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

  • Digital Transformation

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