Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance

Motor insurance can use telematics data not only to understand individual driving style but also to implement innovative coaching strategies that feed back to the drivers, through an app, the aggregated information extracted from the data. The purpose is to encourage an improvement in their driving style. A precondition for this improvement is that drivers are digitally engaged, that is, they interact with the app. This paper proposes a narrow understanding of the term engagement, referring to users’ interactions with the app. This interaction is also a behavior producing specific data that can be tracked and used by insurance companies. Based on the empirical investigation of the dataset of a company selling a telematics motor insurance policy, our research investigates if there is a correlation between engagement with the app and improvement of driving style. The analysis distinguishes different groups of users with different driving abilities, and takes into account time differences. Our findings contribute to clarifying the methodological challenges that must be addressed when exploring engagement and coaching effectiveness in proactive insurance policies. We conclude by discussing the possibility and difficulties of tracking and using second-order behavioral data related to policyholder engagement with the app.

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Publication Details

Journal
Big Data and Cognitive Computing
Published
2025-08-29
DOI
https://doi.org/10.3390/bdcc9090225
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance

Elena Morotti, Cristiano Misani, Elena Esposito, Alberto Cevolini et al.
Big Data and Cognitive Computing
Impact of AI and Big Data on Business and Society
article

Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance

Elena Morotti, Cristiano Misani, Elena Esposito, Alberto Cevolini, Riccardo Tisseur, Lorenzo Romanelli
article en

Abstract

Motor insurance can use telematics data not only to understand individual driving style but also to implement innovative coaching strategies that feed back to the drivers, through an app, the aggregated information extracted from the data. The purpose is to encourage an improvement in their driving style. A precondition for this improvement is that drivers are digitally engaged, that is, they interact with the app. This paper proposes a narrow understanding of the term engagement, referring to users’ interactions with the app. This interaction is also a behavior producing specific data that can be tracked and used by insurance companies. Based on the empirical investigation of the dataset of a company selling a telematics motor insurance policy, our research investigates if there is a correlation between engagement with the app and improvement of driving style. The analysis distinguishes different groups of users with different driving abilities, and takes into account time differences. Our findings contribute to clarifying the methodological challenges that must be addressed when exploring engagement and coaching effectiveness in proactive insurance policies. We conclude by discussing the possibility and difficulties of tracking and using second-order behavioral data related to policyholder engagement with the app.

Big Data and Cognitive ComputingVol. 9(9)
University of Modena and Reggio Emilia (IT), Telecom Italia (Italy) (IT), Bielefeld University (DE), University of Bologna (IT)
Openalex Percentile: Top 73%
Impact of AI and Big Data on Business and Society
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Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance — Elena Morotti, Cristiano Misani, et al. · Big Data and Cognitive Computing (2025) | TGRS Research Map | TGRS