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Research on chaos of product color image system driven by brand image

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Abstract

Chaos means innovation in the field of design. Meanwhile, the product image system is not only a quantified ‘formula’ between product and psychological cognitive semantics, but also a nonlinear “system”. Therefore, the chaotic study of product color image system was carried out to grasp the users’ color sensibility demands in their complex and nonlinear perceptual cognitive processes accurately, which could help the developers to keep up with market trends and reduce the blindness of design. In this study, the Chaos Theory combine with the Kansei Engineering were applied to obtain the color brand image, collect the time series and analyze the chaos of product color image system. The results showed that product color image system has a chaotic characteristic. Furthermore, the chaotic phenomenon in the color image system of the available products was analyzed to show that the product color trends could be quantitatively predicted. At last, a product color image perception chaotic box was proposed to conceive based on the result of this study, which provides new ideas and theoretical support for the in-depth exploration of complex systems of color images. This is a new attempt to apply the Chaos Theory to the color image cognition process.

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Funding

This research was supported financially by the 2020 Tianjin University Co-construction Funds (282020373), the Science and Technology Research Projects of Higher Education Institutions in Hebei Province(QN2022138) and the National Natural Science Foundation of China(52275243).

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Conceptualization, Xinxin Zhang and Man Ding; methodology, Xinxin Zhang and Yueying Li; validation, Huining Pei; data curation, Xinxin Zhang; writing—original draft preparation, Xinxin Zhang and Huining Pei; writing—review and editing, Xinxin Zhang and Man Ding. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Man Ding.

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Zhang, X., Li, Y., Pei, H. et al. Research on chaos of product color image system driven by brand image. Multimed Tools Appl 82, 24425–24444 (2023). https://doi.org/10.1007/s11042-023-14549-0

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