IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v194y2025ics0965856425000436.html
   My bibliography  Save this article

Enhancing autonomous vehicle acceptance with age and education sensitive simulation interventions: an experimental trial

Author

Listed:
  • Kacperski, Celina
  • Ulloa, Roberto
  • Wautelet, Jérémy
  • Vogel, Tobias
  • Kutzner, Florian

Abstract

The familiarity principle posits that acceptance increases with exposure, which has previously been shown with in vivo and simulated experiences with connected and autonomous vehicles (CAVs). We investigate the impact of a simulated video-based first-person drive on CAV acceptance, as well as the impact of information customization, with a particular focus on acceptance by older individuals and those with lower education. Findings from an online experiment with N = 799 German residents reveal that the simulated experience improved acceptance across response variables such as intention to use and ease of use, particularly among older individuals. However, the opportunity to customize navigation information decreased acceptance of older individuals and those with university degrees and increased acceptance for younger individuals and those with lower educational levels.

Suggested Citation

  • Kacperski, Celina & Ulloa, Roberto & Wautelet, Jérémy & Vogel, Tobias & Kutzner, Florian, 2025. "Enhancing autonomous vehicle acceptance with age and education sensitive simulation interventions: an experimental trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
  • Handle: RePEc:eee:transa:v:194:y:2025:i:c:s0965856425000436
    DOI: 10.1016/j.tra.2025.104415
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856425000436
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104415?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:194:y:2025:i:c:s0965856425000436. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.