IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v70y2019i9p1014-1025.html
   My bibliography  Save this article

Let's Google: Uncertainty and bilingual search

Author

Listed:
  • Margaret Meiling Luo
  • Diane Nahl

Abstract

This study applies Kuhlthau's Information Search Process stage (ISP) model to understand bilingual users' Internet search experience. We conduct a quasi‐field experiment with 30 bilingual searchers and the results suggested that the ISP model was applicable in studying searchers' information retrieval behavior in search tasks. The ISP model was applicable in studying searchers' information retrieval behavior in simple tasks. However, searchers' emotional responses differed from those of the ISP model for a complex task. By testing searchers using different search strategies, the results suggested that search engines with multilanguage search functions provide an advantage for bilingual searchers in the Internet's multilingual environment. The findings showed that when searchers used a search engine as a tool for problem solving, they might experience different feelings in each ISP stage than in searching for information for a term paper using a library. The results echo other research findings that indicate that information seeking is a multifaceted phenomenon.

Suggested Citation

  • Margaret Meiling Luo & Diane Nahl, 2019. "Let's Google: Uncertainty and bilingual search," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(9), pages 1014-1025, September.
  • Handle: RePEc:bla:jinfst:v:70:y:2019:i:9:p:1014-1025
    DOI: 10.1002/asi.24174
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24174
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.24174?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ben Steichen & Ryan Lowe, 2021. "How do multilingual users search? An investigation of query and result list language choices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(6), pages 759-776, June.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jinfst:v:70:y:2019:i:9:p:1014-1025. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.