IDEAS home Printed from https://ideas.repec.org/a/ibn/assjnl/v20y2024i6p96.html
   My bibliography  Save this article

Research on the Design Element Weights of Women's Shirts Based on Visual Perception

Author

Listed:
  • Ling JIN
  • Xiaogang LIU

Abstract

With the continuous change of the consumer market, clothing companies are paying more and more attention to users' experience. Quantifying the users' visual perceptions can help fashion designers to design clothing more scientifically. For the design element weights of women's shirts, this paper takes women aged 18-28 as subjects, and quantifies the subjects' visual perception through eye-tracking experiments. By analyzing the subjects' visual hotspots and key operational index data of ladies' shirts, the weights of each design element are derived. Then the experimental results are compared with the results of the expert hierarchical analysis method, and it is found that they are basically consistent. It shows that by quantifying users' visual perception, it can help fashion designers determine the weights of design elements more conveniently and effectively. Thus, it helps service designers to carry out personalized clothing design, and has important research significance for improving user satisfaction and design hit rate.

Suggested Citation

  • Ling JIN & Xiaogang LIU, 2024. "Research on the Design Element Weights of Women's Shirts Based on Visual Perception," Asian Social Science, Canadian Center of Science and Education, vol. 20(6), pages 1-96, December.
  • Handle: RePEc:ibn:assjnl:v:20:y:2024:i:6:p:96
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ass/article/download/0/0/50994/55374
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ass/article/view/0/50994
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:assjnl:v:20:y:2024:i:6:p:96. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.