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Improving Driving Behavior with an Insurance Telematics Mobile Application

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Information Systems and Neuroscience (NeuroIS 2020)

Abstract

The research presented in this manuscript assesses the impact of the introduction of a mobile phone distraction feature included in a car insurer telematics mobile application. We analyze car drivers’ behaviours and cognitive states using EEG and vehicular telemetry during a simulated driving task. Two groups of qualified drivers were compared: one group were provided awareness of feature introduction and one group with no awareness of the feature introduction. As a whole, our results suggest that the awareness of app feature updates may have led to the creation and internalization of better driving habits during a 3-month period and thereafter, an improvement in behavioral outcomes in the simulated environment. This research contributes to road safety research by assessing the cognitive and behavioural impact of telematics application features on driving behaviour and has practical implications for the automotive insurance sector.

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Notes

  1. 1.

    One participant did not state his/her gender.

References

  1. Handel, P., et al.: Insurance telematics: opportunities and challenges with the smartphone solution. IEEE Intell. Transp. Syst. Mag. 6(4), 57–70 (2014)

    Article  Google Scholar 

  2. Ayuso, M., Guillen, M., Nielsen, J.P.: Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data. Transportation 46(3), 735–752 (2018)

    Article  Google Scholar 

  3. Zhao, Y.: Telematics: safe and fun driving. IEEE Intell. Syst. 17(1), 10–14 (2002)

    Article  Google Scholar 

  4. Léger, P.M., Sénecal, S., Courtemanche, F., de Guinea, A.O., Titah, R., Fredette, M., Labonte-LeMoyne, É.: Precision is in the eye of the beholder: application of eye fixation-related potentials to information systems research. Association for Information Systems (2014)

    Google Scholar 

  5. Léger, P.M., Courtemanche, F., Fredette, M., Sénécal, S.: A cloud-based lab management and analytics software for triangulated human-centered research. In: Information Systems and Neuroscience, pp. 93–99. Springer, Cham (2019)

    Google Scholar 

  6. Campagne, A., Pebayle, T., Muzet, A.: Correlation between driving errors and vigilance level: influence of the driver’s age. Physiol. Behav. 80(4), 515–524 (2004)

    Article  Google Scholar 

  7. Yang, L., Ma, R., Zhang, M., Guan, W., Jiang, S.: Driving behavior recognition using EEG data from a simulated car-following experiment. Accid. Anal. Prev. 116(2018), 30–40 (2018)

    Article  Google Scholar 

  8. Zafar, H., Randolph, A., Gupta, S., Hollingsworth, C.: Traditional SETA no more: investigating the intersection between cybersecurity and cognitive neuroscience. In Proceedings of the 52nd Hawaii International Conference on System Sciences (2018)

    Google Scholar 

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Correspondence to Perrine Ruer .

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Ruer, P. et al. (2020). Improving Driving Behavior with an Insurance Telematics Mobile Application. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_23

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

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