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Analysis of Driver’s Reaction Behavior Using a Persuasion-Based IT Artefact

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  • Javier Goikoetxea Gonzalez

    (Facultad de Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

  • Diego Casado-Mansilla

    (Facultad de Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    DeustoTech–Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

  • Diego López-de-Ipiña

    (Facultad de Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
    DeustoTech–Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain)

Abstract

The use of interactive technology to change behavior, which is commonly known as persuasive technology, is currently gaining attention in information systems research. It has been assessed in many application domains and the field of private mobility is not an exception, notably with the advent of self-driven cars. However, the reviewed body of research shows that when it comes to linking persuasion-based systems and mobility, most of the approaches focus on engaging drivers to use the car in a safer way, leaving the cost-efficiency aspect of driving less explored. Therefore, this article focuses on the study of a persuasion-based IT (Information Technology) artefact devised to make drivers more aware of car expenses (e.g., maintenance control, engine failures, enhance driving, etc.). Specifically, it aims to identify persuasive design principles for a smart IT solution that is tailored for the enhancement of the cost-efficiency of private cars. To this purpose, the results of a survey, where respondents (N = 301) were asked to rank different principles of persuasion which might result in increased efficiency to save time and money within their car, are presented. This work aims to contribute a persuasion-based IT artefact to help and influence drivers, enhancing their management of costs related to car mobility in real-time. The implications of the proposed solution, according to the responses of the survey, are discussed in line with its implementation and adoption by car holders.

Suggested Citation

  • Javier Goikoetxea Gonzalez & Diego Casado-Mansilla & Diego López-de-Ipiña, 2020. "Analysis of Driver’s Reaction Behavior Using a Persuasion-Based IT Artefact," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6857-:d:403140
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Evangelia Anagnostopoulou & Efthimios Bothos & Babis Magoutas & Johann Schrammel & Gregoris Mentzas, 2018. "Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends," Sustainability, MDPI, vol. 10(7), pages 1-22, June.
    3. Toledo, Galit & Shiftan, Yoram, 2016. "Can feedback from in-vehicle data recorders improve driver behavior and reduce fuel consumption?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 194-204.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Qian Cheng & Xiaobei Jiang & Haodong Zhang & Wuhong Wang & Chunwen Sun, 2020. "Data-Driven Detection Methods on Driver’s Pedal Action Intensity Using Triboelectric Nano-Generators," Sustainability, MDPI, vol. 12(21), pages 1-17, October.

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