IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7940645.html
   My bibliography  Save this article

Research on the Evaluation Modeling Method of User Experience Quality under Uncertain Noise Environment

Author

Listed:
  • Die Yin
  • Taifu Li
  • Zhiqiang Liao

Abstract

Experience economy is a trend of future economic development. Enterprises can only occupy the market more successfully by enhancing the user experience in product design. The user’s product experience is affected by uncertainty noises (such as the user’s environment and different users), rendering the user experience quality evaluation results highly variable. The purpose of this paper is to study the modeling method of user experience quality evaluations under uncertain environmental noises; inspired by normal ordered weighted averaging (OWA) operators, the normal distribution probability density function is implemented to improve the normal ordered weighted averaging (OWA) operators, and a new modeling method designed for the evaluation of user experience quality under uncertainty is proposed, which can overcome the disadvantage of unreasonable weight distribution when the data size and location are different, as well as weigh the importance of both the value and the location of the data. The simulation results show that this method is more effective, accurate, and feasible than the conventional order weighted synthesis operator method. The feasibility and validity of this method are proved by user experience and comparative experiments of multiattribute bread products.

Suggested Citation

  • Die Yin & Taifu Li & Zhiqiang Liao, 2020. "Research on the Evaluation Modeling Method of User Experience Quality under Uncertain Noise Environment," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, December.
    • Handle: RePEc:hin:jnlmpe:7940645
    DOI: 10.1155/2020/7940645
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/7940645.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/7940645.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/7940645?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. Chao Zhang, 2022. "Exploring user cognition difference and pleasure balance guidance method for product perceptible features in vehicle-mounted system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1019-1030, December.

    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:hin:jnlmpe:7940645. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.