DrivingBeacon: Driving Behaviour Change Support System Considering Mobile Use and Geo-information

Jawwad Baig, Guanyi Chen, Chenghua Lin, Ehud Reiter

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


Natural Language Generation has been proved to be effective and efficient in constructing health behaviour change support systems. We are working on DrivingBeacon, a behaviour change support system that uses telematics data from mobile phone sensors to generate weekly data-to-text feedback reports to vehicle drivers. The system makes use of a wealth of information such as mobile phone use while driving, geo-information, speeding, rush hour driving to generate the feedback. We present results from a real-world evaluation where 8 drivers in UK used DrivingBeacon for 4 weeks. Results are promising but not conclusive.
Original languageEnglish
Title of host publicationProceedings of the First Workshop on Natural Language Generation in Healthcare
Place of PublicationWaterville, Maine, USA and virtual meeting
PublisherAssociation for Computational Linguistics
Number of pages8
Publication statusPublished - 1 Jul 2022


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