The effects of icon design features on user perception and preference: A case study of icons for Covid-19

The objective of this study is to evaluate users' perceptions and preferences on the design features of the COVID-19 prevention promotion icon from the perspective of users' aesthetic and perceptual needs. In this study, 120 officially published icons from 24 countries and regions were collected from online platforms for ranking tests, and then the top-ranked icons were subjectively rated by the semantic differential method. By evaluating the quality of users' perceptions of multiple semantic dimensions of icons, we extracted the perceptual semantic words that users valued as the main icon design features. Spearmen correlations were applied to derive possible correlations between user rankings and semantic scales, and a Friedman test was also conducted to determine the true differences in user perceptions and preferences for different styles of icons. Factor analysis was conducted to extract six perceptual words that influence the design features of the COVID-19 prevention promotion icon. The methodology adopted in this study facilitated the screening of design features related to icon effectiveness, and the findings show that "Interesting," "Simple," "Familiar, "Recognizable," "Concrete," and "Close(semantic distance)" are the key features that influence users' perception and preference of COVID-19 icon design. The results of this study can be used as the basis for designing and improving publicity icons for preventive measures in COVID-19, and the methods adopted in this study can be applied to evaluate other types of icon design.

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Publication Details

Journal
PLoS ONE
Published
2024-09-03
DOI
https://doi.org/10.1371/journal.pone.0305290
Citations
4
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
2.03
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article

The effects of icon design features on user perception and preference: A case study of icons for Covid-19

C -Y Lin, Lujie Deng, Shuicai Qiu, Qiong Liao
4 citations
PLoS ONE
Multisensory perception and integration
2.03
article

The effects of icon design features on user perception and preference: A case study of icons for Covid-19

C -Y Lin, Lujie Deng, Shuicai Qiu, Qiong Liao
article en
4 citations

Abstract

The objective of this study is to evaluate users' perceptions and preferences on the design features of the COVID-19 prevention promotion icon from the perspective of users' aesthetic and perceptual needs. In this study, 120 officially published icons from 24 countries and regions were collected from online platforms for ranking tests, and then the top-ranked icons were subjectively rated by the semantic differential method. By evaluating the quality of users' perceptions of multiple semantic dimensions of icons, we extracted the perceptual semantic words that users valued as the main icon design features. Spearmen correlations were applied to derive possible correlations between user rankings and semantic scales, and a Friedman test was also conducted to determine the true differences in user perceptions and preferences for different styles of icons. Factor analysis was conducted to extract six perceptual words that influence the design features of the COVID-19 prevention promotion icon. The methodology adopted in this study facilitated the screening of design features related to icon effectiveness, and the findings show that "Interesting," "Simple," "Familiar, "Recognizable," "Concrete," and "Close(semantic distance)" are the key features that influence users' perception and preference of COVID-19 icon design. The results of this study can be used as the basis for designing and improving publicity icons for preventive measures in COVID-19, and the methods adopted in this study can be applied to evaluate other types of icon design.

PLoS ONEVol. 19(9)
Universiti Sains Malaysia (MY), Jinan University (CN), Guangzhou Panyu Polytechnic (CN), Guangzhou Vocational College of Science and Technology (CN)
Openalex Percentile: Top 13%
Multisensory perception and integration
2.03
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