<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the rise of digital media, the visual design of public art has gradually added multimodal interactive experience from purely conforming to information communication. Starting from the multimodal integration of public art visual communication design, this study takes several groups of public art landscape projects in a certain region as research objects to explore the relationship between the multimodal visual design of public art landscape and its public satisfaction. Firstly, the evaluation standard for public art visual communication design is constructed. The sample visual communication design is analyzed using the semantic difference method and then combined with the factor analysis method to provide a comprehensive evaluation. Based on determining the satisfaction effect indexes, the AHP method is used to assign weights to each index. Finally, the satisfaction effect results of the sample visual communication designs are obtained. After utilizing the result equation, the relationship between public art visual communication design and landscape satisfaction effect is explored. The overall appearance of public art visual communication design is presented better, and the impact of multimodal fusion visual communication design is especially prominent in samples 3, 2, and 10. The satisfaction effect of the sample visual communication design is also more satisfactory, with 70% of the sample landscapes scoring above 1.5. Meanwhile, the study verified the positive and significant influence of public art visual communication design on the satisfaction effect of landscapes. The theoretical basis and methodological exploration for the multimodal integration research of public art can be provided by this study.</p>
</abstract>

With the rise of digital media, the visual design of public art has gradually added multimodal interactive experience from purely conforming to information communication. Starting from the multimodal integration of public art visual communication design, this study takes several groups of public art landscape projects in a certain region as research objects to explore the relationship between the multimodal visual design of public art landscape and its public satisfaction. Firstly, the evaluation standard for public art visual communication design is constructed. The sample visual communication design is analyzed using the semantic difference method and then combined with the factor analysis method to provide a comprehensive evaluation. Based on determining the satisfaction effect indexes, the AHP method is used to assign weights to each index. Finally, the satisfaction effect results of the sample visual communication designs are obtained. After utilizing the result equation, the relationship between public art visual communication design and landscape satisfaction effect is explored. The overall appearance of public art visual communication design is presented better, and the impact of multimodal fusion visual communication design is especially prominent in samples 3, 2, and 10. The satisfaction effect of the sample visual communication design is also more satisfactory, with 70% of the sample landscapes scoring above 1.5. Meanwhile, the study verified the positive and significant influence of public art visual communication design on the satisfaction effect of landscapes. The theoretical basis and methodological exploration for the multimodal integration research of public art can be provided by this study.

Research on the Multimodal Integration of Visual Communication Design and Public Art in Digital Perspective

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the rise of digital media, the visual design of public art has gradually added multimodal interactive experience from purely conforming to information...

Research on the Multimodal Integration of Visual Communication Design and Public Art in Digital Perspective

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 25. Feb. 2024

Akzeptiert: 05. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1286

Schlüsselwörter
Semantic differential method, Visual Communication Design, Factor analysis, AHP, Structural equation modeling, Multimodal fusion, Public art

© 2024 Li Chang, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Multimodal Integration of Visual Communication Design and Public Art in Digital Perspective

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 25. Feb. 2024

Akzeptiert: 05. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1286

SchlüsselwörterSemantic differential method, Visual Communication Design, Factor analysis, AHP, Structural equation modeling, Multimodal fusion, Public art

© 2024 Li Chang, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Semantic differential method, Visual Communication Design, Factor analysis, AHP, Structural equation modeling, Multimodal fusion, Public art