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

Jawwad Baig; Guanyi Chen; Chenghua Lin; Ehud Reiter

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 proceeding › Published conference contribution

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Abstract

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 language	English
Title of host publication	Proceedings of the First Workshop on Natural Language Generation in Healthcare
Place of Publication	Waterville, Maine, USA and virtual meeting
Publisher	Association for Computational Linguistics
Pages	1-8
Number of pages	8
Publication status	Published - 1 Jul 2022

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DrivingBeacon: Driving Behaviour Change Support System Considering Mobile Use and Geo-information. / Baig, Jawwad; Chen, Guanyi; Lin, Chenghua et al.
Proceedings of the First Workshop on Natural Language Generation in Healthcare. Waterville, Maine, USA and virtual meeting: Association for Computational Linguistics, 2022. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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abstract = "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.",

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AB - 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.

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PB - Association for Computational Linguistics

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

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