{"title":"数字阅读中消费者认知与阅读时间预测分析","authors":"Li Haiyan, Zhang Hui, Zhang Fanghong, Guo Meijing","doi":"10.1109/ICIS.2017.7960054","DOIUrl":null,"url":null,"abstract":"Through the investigation of typical survey data and national statistical data, this paper aims to conduct quantitative analysis about the digital reading of consumers. Firstly, the cognitive behavior of digital reading consumer is analyzed by using statistical method. Secondly, based on the grey system model, the model predicts the daily reading time of the national per capita using electronic readers. Finally, it provides suggestions for digital reading promotion and digital industry development.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An analysis of consumers' cognition and reading time prediction in digital reading\",\"authors\":\"Li Haiyan, Zhang Hui, Zhang Fanghong, Guo Meijing\",\"doi\":\"10.1109/ICIS.2017.7960054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through the investigation of typical survey data and national statistical data, this paper aims to conduct quantitative analysis about the digital reading of consumers. Firstly, the cognitive behavior of digital reading consumer is analyzed by using statistical method. Secondly, based on the grey system model, the model predicts the daily reading time of the national per capita using electronic readers. Finally, it provides suggestions for digital reading promotion and digital industry development.\",\"PeriodicalId\":301467,\"journal\":{\"name\":\"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2017.7960054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2017.7960054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analysis of consumers' cognition and reading time prediction in digital reading
Through the investigation of typical survey data and national statistical data, this paper aims to conduct quantitative analysis about the digital reading of consumers. Firstly, the cognitive behavior of digital reading consumer is analyzed by using statistical method. Secondly, based on the grey system model, the model predicts the daily reading time of the national per capita using electronic readers. Finally, it provides suggestions for digital reading promotion and digital industry development.