Statistical modeling of cultural differences in adopting autonomous vehicles

Yongdeok Yun, Hyungseok Oh, Rohae Myung

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    Abstract

    As autonomous driving technology develops, the advantages and disadvantages of autonomous vehicles emerge. In order for automated vehicles to find a place in society, public opinion and acceptance are important, and a number of studies about public opinion and acceptance are underway. In this paper, we investigated the relation between cross cultural differences and public opinion on automated vehicles. Through a literature review, public opinion in various countries, including China, India, Japan, the U.S., the U.K., and Australia, was collected. Through these data, the influence of cross cultural differences in public opinion was identified, and statistical models for predicting public opinion about autonomous vehicles were developed. In addition, the prediction models were validated through the results of the survey conducted in this paper. As a result, the influence of cross cultural differences on public opinion about automated vehicles was confirmed.

    Original languageEnglish
    Article number9030
    JournalApplied Sciences (Switzerland)
    Volume11
    Issue number19
    DOIs
    Publication statusPublished - 2021 Oct 1

    Bibliographical note

    Funding Information:
    Funding: This Research was funded by Brain Korea 21 Four (I21SS7609052) and Basic Science Research Program through the National Research Foundation of Korea (NRF-2018R1D1A1A09084291) from Ministry of Education.

    Publisher Copyright:
    © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

    Keywords

    • Automated vehicles
    • Cross cultural difference
    • Hofstede’s 6-D model
    • Online survey
    • Public opinion

    ASJC Scopus subject areas

    • General Materials Science
    • Instrumentation
    • General Engineering
    • Process Chemistry and Technology
    • Computer Science Applications
    • Fluid Flow and Transfer Processes

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