Human-computer interaction emotional design and innovative cultural and creative product design
To make the interface design of computer application system better, meet the psychological and emotional needs of users, and be more humanized, the emotional factor is increasingly valued by interface designers. In the design of human-computer interaction graphical interfaces, the designer attaches...
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Published in | Frontiers in psychology Vol. 13; p. 982303 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
27.09.2022
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Subjects | |
Online Access | Get full text |
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Summary: | To make the interface design of computer application system better, meet the psychological and emotional needs of users, and be more humanized, the emotional factor is increasingly valued by interface designers. In the design of human-computer interaction graphical interfaces, the designer attaches great importance to the emotional design of the interface, and enhances the humanized design of the interface, which cannot only improve the comfort of the interface, but also improve the fun of the interface, to ensure the psychological and emotional needs of users can be better satisfied. It may acquire information that is favorable to innovative design by utilizing cluster analysis algorithm to tackle the problem of complicated cultural information, and then utilize cellular genetic algorithm to carry out creative design of cultural items. It increases the availability of cultural and creative goods. The classic cluster analysis technique offers the maximum data clustering effect of 53.3%, according to the findings of this paper’s experiments. While the improved cluster analysis algorithm has the highest data clustering effect of 90%. It can be seen that the improved cluster analysis algorithm can effectively perform cluster analysis on a large amount of data in cultural and creative products. It thus finds out the most suitable designer’s creative information, which helps designers create better products. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Zhihan Lv, Uppsala University, Sweden This article was submitted to Human-Media Interaction, a section of the journal Frontiers in Psychology Reviewed by: Zhe Song, Taylor’s University, Malaysia; Peilin Chen, China University of Labor Relations, China |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2022.982303 |