Users' Privacy Concerns and Attitudes towards Usage-based Insurance: An Empirical Approach

被引:0
|
作者
Quintero, Juan [1 ]
Railean, Alexandr [2 ]
机构
[1] Friedrich Alexander Univ Erlangen Nurnberg FAU, Dept Comp Sci, Erlangen, Germany
[2] Georg August Univ Gottingen, Inst Comp Sci, Gottingen, Germany
基金
欧盟地平线“2020”;
关键词
Usage-based Insurance; Pay as You Drive; Telematics Insurance; Acceptance; Privacy Concerns; Driving Style; Transparency;
D O I
10.5220/0011044000003191
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:290 / 299
页数:10
相关论文
共 50 条
  • [41] Exploring the privacy concerns of smartphone app users: a qualitative approach
    Maseeh, Haroon Iqbal
    Nahar, Shamsun
    Jebarajakirthy, Charles
    Ross, Mitchell
    Arli, Denni
    Das, Manish
    Rehman, Mehak
    Ashraf, Hafiz Ahmad
    MARKETING INTELLIGENCE & PLANNING, 2023, 41 (07) : 945 - 969
  • [42] Towards integration of use case modelling and usage-based testing
    Regnell, B
    Runeson, P
    Wohlin, C
    JOURNAL OF SYSTEMS AND SOFTWARE, 2000, 50 (02) : 117 - 130
  • [44] The role of relevance for scalar diversity: a usage-based approach
    Pankratz, Elizabeth
    Van Tiel, Bob
    LANGUAGE AND COGNITION, 2021, 13 (04) : 562 - 594
  • [45] Negative entrenchment: A usage-based approach to negative evidence
    Stefanowitsch, Anatol
    COGNITIVE LINGUISTICS, 2008, 19 (03) : 513 - 531
  • [46] Usage-Based Web Recommendations: A Reinforcement Learning Approach
    Taghipour, Nima
    Kardan, Ahmad
    Ghidary, Saeed Shiry
    RECSYS 07: PROCEEDINGS OF THE 2007 ACM CONFERENCE ON RECOMMENDER SYSTEMS, 2007, : 113 - 120
  • [47] Dialect data, lexical frequency and the usage-based approach
    Clark, Lynn
    DIALECT LABORATORY: DIALECTS AS A TESTING GROUND FOR THEORIES OF LANGUAGE CHANGE, 2012, 128 : 53 - 72
  • [48] Brake Data-Based Location Tracking in Usage-Based Automotive Insurance Programs
    Sarker, Ankur
    Qiu, Chenxi
    Shen, Haiying
    Uehara, Hua
    Zheng, Kevin
    2020 19TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN 2020), 2020, : 229 - 240
  • [49] MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance
    Fang, Zhihan
    Yang, Guang
    Zhang, Dian
    Xie, Xiaoyang
    Wang, Guang
    Yang, Yu
    Zhang, Fan
    Zhang, Desheng
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 2849 - 2857
  • [50] Good drivers pay less: A study of usage-based vehicle insurance models
    Bian, Yiyang
    Yang, Chen
    Zhao, J. Leon
    Liang, Liang
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 107 : 20 - 34