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Research on Design of Emergency Science Popularization Information Visualization for Public Health Events-Taking 'COVID-19';as an Example
Sustainability ; 14(7):4022, 2022.
Article in English | MDPI | ID: covidwho-1762434
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.
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Collection: Databases of international organizations Database: MDPI Language: English Journal: Sustainability Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: MDPI Language: English Journal: Sustainability Year: 2022 Document Type: Article