IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v26y2024i4d10.1007_s40558-024-00296-x.html
   My bibliography  Save this article

Travelers’ viewpoints on machine translation using Q methodology: a perspective of consumption value theory

Author

Listed:
  • Namhee Lee

    (Kyonggi University)

  • Kanghee Lee

    (Korea National University of Transportation)

Abstract

With the advancement of AI-powered technologies, machine translation (MT) has had a notable influence on tourists’ travel experiences by altering the way they use or understand language in destinations. The purpose of this study is to identify and describe travelers’ viewpoints of MT derived from their experience based on consumption value theory (CVT). This paper also utilized Q methodology to gain insights into travelers’ perspectives on MT by performing Q-sorting on 32 South Koreans who used MT while traveling abroad. The analysis of using Ken-Q revealed three major perspectives: a linguistic shortcut, the compass of comprehensibility, and the pocket assistant of linguistic abundance, in which conditional, functional, epistemic, and social values are reflected. The findings generate both theoretical and practical implications for enhancing the utilization of MT and its significance in tourism-related activities.

Suggested Citation

  • Namhee Lee & Kanghee Lee, 2024. "Travelers’ viewpoints on machine translation using Q methodology: a perspective of consumption value theory," Information Technology & Tourism, Springer, vol. 26(4), pages 611-632, December.
  • Handle: RePEc:spr:infott:v:26:y:2024:i:4:d:10.1007_s40558-024-00296-x
    DOI: 10.1007/s40558-024-00296-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-024-00296-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-024-00296-x?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:spr:infott:v:26:y:2024:i:4:d:10.1007_s40558-024-00296-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.