Creating Textual Driver Feedback from Telemetric Data

Daniel Braun, Ehud Reiter, Advaith Siddharthan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the European Natural Language Generation 2015 workshop (ENLG 2015)
PublisherACL Anthology
DOIs
Publication statusPublished - 2015
Event15th European Workshop on Natural Language Generation - Brighton, United Kingdom
Duration: 10 Sep 201511 Sep 2015

Conference

Conference15th European Workshop on Natural Language Generation
CountryUnited Kingdom
CityBrighton
Period10/09/1511/09/15

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  • Cite this

    Braun, D., Reiter, E., & Siddharthan, A. (2015). Creating Textual Driver Feedback from Telemetric Data. In Proceedings of the European Natural Language Generation 2015 workshop (ENLG 2015) ACL Anthology. https://doi.org/10.18653/v1/W15-4726