IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p4022-d781997.html
   My bibliography  Save this article

Research on Design of Emergency Science Popularization Information Visualization for Public Health Events-Taking “COVID-19”as an Example

Author

Listed:
  • Hong Li

    (School of Creativity and Design, Guangzhou Huashang College, Guangzhou 511300, China)

  • Kuohsun Wen

    (School of Design, Fujian University of Technology, Fuzhou 350118, China)

Abstract

This study explores the optimization method of emergency popular science information design elements in public health events, breaks through the traditional design with the designer as the subjective consciousness and proposes an emergency popular science information design method oriented by perceptual narrative. First, relevant research on public health events was carried out to screen out and analyze relevant narrative information elements and image elements, and narrative element divergence tree was established to show evaluation indicators. Second, relevant personnel were invited to evaluate the importance and kansei engineering, factor analysis and other methods were used to establish the correlation evaluation indicators of narrative elements. Finally, the optimization narrative elements of popular science information design were calculated with the fuzzy evaluation method to provide an effective auxiliary role for the visualization design of emergency popular science information. Taking “COVID-19 Event” as an example, the narrative design practice of emergency popular science elements was carried out. According to 313 effective questionnaires, the satisfaction of “COVID-19 event” popular science information elements that adopt the optimization method is relatively high, which verifies the feasibility of this method. The conclusion proves that the perceptual narrative design method can obtain the perceptual identity from the audience and plays a positive role in disseminating emergency popular science information.

Suggested Citation

  • Hong Li & Kuohsun Wen, 2022. "Research on Design of Emergency Science Popularization Information Visualization for Public Health Events-Taking “COVID-19”as an Example," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4022-:d:781997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/4022/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/7/4022/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:14:y:2022:i:7:p:4022-:d:781997. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.