{"title":"人工智能和大数据影响下设计方法论的发展趋势","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":"{\"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}","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}
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.