Data-Driven Future Visions: Color Design Foresight

Jingyuan Wang; Xia Li

Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24–26, 2024, Luoyang, China

Research Article

Data-Driven Future Visions: Color Design Foresight

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.24-5-2024.2350042,
    author={Jingyuan  Wang and Xia  Li},
    title={Data-Driven Future Visions: Color Design Foresight},
    proceedings={Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24--26, 2024, Luoyang, China},
    publisher={EAI},
    proceedings_a={ADDT},
    year={2024},
    month={9},
    keywords={future visions; data-driven; color; futures triangle; future thinking},
    doi={10.4108/eai.24-5-2024.2350042}
}

Jingyuan Wang
Xia Li
Year: 2024
Data-Driven Future Visions: Color Design Foresight
ADDT
EAI
DOI: 10.4108/eai.24-5-2024.2350042

Jingyuan Wang¹, Xia Li¹^,*

1: Beijing University of Posts and Telecommunications

*Contact email: lixia1@bupt.edu.cn

Abstract

The rapidly evolving technological landscape has continuously expanded the horizons of color research, brimming with future uncertainties. Hence, it is crucial to consider various complex factors and drive the development of color design from multiple dimensions. Prior studies on future visions lacked the practical integration of data-driven approaches with workshops. This paper utilizes extensive data from social platforms for co-creation and combines workshops to gather weak signal data for future visions. This study brings methodological innovation to future vision generation, establishing a comprehensive research process, and designing a two-dimensional visual model for visualizing these visions.

Keywords: future visions; data-driven; color; futures triangle; future thinking

Published: 2024-09-27
Publisher: EAI

: http://dx.doi.org/10.4108/eai.24-5-2024.2350042