人工智能和大数据影响下设计方法论的发展趋势

W. Shu, Fuliang Sun, Yueen Li
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摘要

传统设计方法的灵感来自于内向的自我救赎或创造力驱动的设计。在大数据时代,它们逐渐被海量数据所驱动。没有数据的设计创新越来越缺乏说服力。数据参与设计日益面临市场风险。而且,随着人工智能的进步,这种技术创新最终将解构现有的设计创新领域,其影响将持续,并可能从根本上产生新的设计思想和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Development Trend of Design Methodology under the Influence of Artificial Intelligence and Big Data
Traditional design methods are inspired by introverted self-salvation or creativity-driven design. In the era of big data, they are gradually driven by vast data. Design innovation without data is increasingly lacking in persuasion. The design of data participation increasingly faces market risks. Moreover, with the progress of artificial intelligence, such a technological innovation will eventually deconstruct the existing field of design innovation, its impact will continue, and it may fundamentally spawn new design ideas and methods.
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