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Authors: Juan Quintero 1 and Alexandr Railean 2

Affiliations: 1 Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany ; 2 Institute of Computer Science, Georg-August-Universität Göttingen, Göttingen, Germany

Keyword(s): Usage-based Insurance, Pay as You Drive, Telematics Insurance, Acceptance, Privacy Concerns, Driving Style, Transparency.

Abstract: Usage-based Insurance (UBI) is a car insurance model in which the insurance payment calculations are based on driving data such as speed, acceleration, braking, location, etc. Driving data are collected and analysed by the insurer to provide feedback on driving performance, help drivers improve their skills, and possibly apply a discount on their next renewal. So far, UBI research has been focused more on its architecture, benefits, or acceptance, while the users’ perception of such forms of insurance and their privacy concerns received less attention. To fill this gap, we conducted an online survey with 281 participants and analysed their responses using qualitative and quantitative methods. We found that data collection and sharing are the main privacy concerns. Furthermore, we identified potential discounts as the most important feature in favor of adopting UBI, while data collection and unfair ratings are the main reasons to avoid or quit UBI.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Quintero, J. and Railean, A. (2022). Users’ Privacy Concerns and Attitudes towards Usage-based Insurance: An Empirical Approach. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-573-9; ISSN 2184-495X, SciTePress, pages 290-299. DOI: 10.5220/0011044000003191

@conference{vehits22,
author={Juan Quintero. and Alexandr Railean.},
title={Users’ Privacy Concerns and Attitudes towards Usage-based Insurance: An Empirical Approach},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2022},
pages={290-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011044000003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Users’ Privacy Concerns and Attitudes towards Usage-based Insurance: An Empirical Approach
SN - 978-989-758-573-9
IS - 2184-495X
AU - Quintero, J.
AU - Railean, A.
PY - 2022
SP - 290
EP - 299
DO - 10.5220/0011044000003191
PB - SciTePress