{"title":"电子商务网站的视觉传达设计方法","authors":"Chen Ping","doi":"10.1109/ICSGEA.2019.00127","DOIUrl":null,"url":null,"abstract":"Through the analysis and research of visual design and information transmission of the interface of e-commerce website, this paper summarizes the psychological state of the interface visual design of e-commerce website to consumers and its element manifestations. By the relevant theoretical basis, research and analysis and expression techniques, the consumer's visual perception of e-commerce website interface is conveyed. Then, taking an e-commerce website as an example, the perceptual knowledge and evaluation of the user is converted into the level selection of the design elements of the web interface with the perceptual knowledge and evaluation of the product details page as the starting point, by using the theory of Kansei Engineering. Aiming at higher user preferences, the integrated algorithm of BP neural network and genetic algorithm is used to optimize the web interface globally. It truly realizes the user's perceptual needs into the design of web pages to achieve user-centered optimization design of web interface, which effectively conveys visual information and enable it to be accurate and powerful for the expression of visual information.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Visual Communication Design Method for E-Commerce Websites\",\"authors\":\"Chen Ping\",\"doi\":\"10.1109/ICSGEA.2019.00127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through the analysis and research of visual design and information transmission of the interface of e-commerce website, this paper summarizes the psychological state of the interface visual design of e-commerce website to consumers and its element manifestations. By the relevant theoretical basis, research and analysis and expression techniques, the consumer's visual perception of e-commerce website interface is conveyed. Then, taking an e-commerce website as an example, the perceptual knowledge and evaluation of the user is converted into the level selection of the design elements of the web interface with the perceptual knowledge and evaluation of the product details page as the starting point, by using the theory of Kansei Engineering. Aiming at higher user preferences, the integrated algorithm of BP neural network and genetic algorithm is used to optimize the web interface globally. It truly realizes the user's perceptual needs into the design of web pages to achieve user-centered optimization design of web interface, which effectively conveys visual information and enable it to be accurate and powerful for the expression of visual information.\",\"PeriodicalId\":201721,\"journal\":{\"name\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"23 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2019.00127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Visual Communication Design Method for E-Commerce Websites
Through the analysis and research of visual design and information transmission of the interface of e-commerce website, this paper summarizes the psychological state of the interface visual design of e-commerce website to consumers and its element manifestations. By the relevant theoretical basis, research and analysis and expression techniques, the consumer's visual perception of e-commerce website interface is conveyed. Then, taking an e-commerce website as an example, the perceptual knowledge and evaluation of the user is converted into the level selection of the design elements of the web interface with the perceptual knowledge and evaluation of the product details page as the starting point, by using the theory of Kansei Engineering. Aiming at higher user preferences, the integrated algorithm of BP neural network and genetic algorithm is used to optimize the web interface globally. It truly realizes the user's perceptual needs into the design of web pages to achieve user-centered optimization design of web interface, which effectively conveys visual information and enable it to be accurate and powerful for the expression of visual information.