Research on the Visual Imagery of Posters Based on the Culture Code Theory of Design.

culture code theory of design poster design semantic differential method visual communication visual imagery

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2022
Historique:
received: 24 01 2022
accepted: 25 03 2022
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 28 6 2022
Statut: epublish

Résumé

According to the Culture Code Theory of Design, posters can be divided into strategy aspect, meaning aspect, and technical aspect. This study explored the impact of visual imagery on poster communication and effect focus on the meaning and technical aspects which directly related to the audiences. The visual imagery preference of ten public poster samples is collected from 40 participants by online questionnaire with the semantic differential method. The results show that the audience's visual imagery at the technical aspect is mainly related to the richness of colors, graphics, and texts. When receiving the information from the meaning aspect of the poster correctly, the visual imagery will be influenced by the type of theme. Most importantly, the same or similar visual imagery at the technical and meaning aspect encourages audiences to explore the deep information of posters. Poster works that keep visual imagery coherent and smooth at the two aspects can achieve a better effect.

Identifiants

pubmed: 35756309
doi: 10.3389/fpsyg.2022.861366
pmc: PMC9222334
doi:

Types de publication

Journal Article

Langues

eng

Pagination

861366

Informations de copyright

Copyright © 2022 Wen, Jingjing, Chen and Luyu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Addiction. 2013 Apr;108(4):820-5
pubmed: 23072564
Glob Health Promot. 2019 Sep;26(3):23-31
pubmed: 28832244

Auteurs

Luo Wen (L)

School of Design, South China University of Technology, Guangzhou, China.

Wang Jingjing (W)

School of Design, South China University of Technology, Guangzhou, China.

Wang Chen (W)

School of Design, South China University of Technology, Guangzhou, China.

Sun Luyu (S)

School of Design, South China University of Technology, Guangzhou, China.

Classifications MeSH