IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v28y2024i1-2p24-34.html
   My bibliography  Save this article

Study on evaluation method of human-computer interface quality of intelligent products based on Bayesian classification

Author

Listed:
  • Jinrong Li

Abstract

In order to improve the accuracy and efficiency of human-computer interaction interface quality evaluation, this paper proposes an intelligent product interaction interface quality evaluation method based on Bayesian classification. An adaptive Gauss filter is introduced to adjust the colour of intelligent product interaction interface through logarithmic operator, and the intelligent product interaction interface is formally described. Bayesian classification method is used to build the quality evaluation model of intelligent product interaction interface. According to Bayesian classification probability reasoning mechanism, the quality of intelligent product interaction interface is evaluated. According to the relevant verification results, the average significance of the proposed method is as high as 95.7%, the recognition accuracy is 96.4% and the evaluation time is only 7.2 s, which has a good evaluation effect.

Suggested Citation

  • Jinrong Li, 2024. "Study on evaluation method of human-computer interface quality of intelligent products based on Bayesian classification," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 28(1/2), pages 24-34.
    • Handle: RePEc:ids:ijpdev:v:28:y:2024:i:1/2:p:24-34
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=137813
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijpdev:v:28:y:2024:i:1/2:p:24-34. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=36 .

    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.