Creating Textual Driver Feedback from Telemetric Data

Abstract

Usage based car insurances, which use sensors to track driver behaviour, are enjoying growing popularity. Although the data collected by these insurances could provide detailed feedback about the driving style, this information is usually kept away from the driver and is used only to calculate insurance premiums. In this paper, we explored the possibility of providing drivers with textual feedback based on telemetric data in order to improve individual driving, but also general road safety. We report that textual feedback generated through NLG was preferred to non-textual summaries currently popular in the field and specifically was better at giving users a concrete idea of how to adapt their driving.