The Development Trend of Design Methodology under the Influence of Artificial Intelligence and Big Data

W. Shu, Fuliang Sun, Yueen Li
{"title":"The Development Trend of Design Methodology under the Influence of Artificial Intelligence and Big Data","authors":"W. Shu, Fuliang Sun, Yueen Li","doi":"10.1145/3417188.3417214","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":373913,"journal":{"name":"Proceedings of the 2020 4th International Conference on Deep Learning Technologies","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Conference on Deep Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3417188.3417214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能和大数据影响下设计方法论的发展趋势
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Empirical Analysis of the Influential Factors of College Students' Academic Performance The Development Trend of Design Methodology under the Influence of Artificial Intelligence and Big Data Bankruptcy Study Using Artificial Intelligence Combining Residual learning and U-Net for Hippocampus Segmentation of Brain MRI Volume Image A Hybrid Model for E-Learning Resources Recommendations in the Developing Countries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1