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

Hong Li and Kuohsun Wen
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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

Sustainability, 2022, vol. 14, issue 7, 1-24

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.

Keywords: emergency popular science; public health events; information visualization; perceptual narrative design; COVID-19; epidemic spread (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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