{"title":"使软件适应用户的认知风格:领域依赖-领域独立","authors":"D. Valentine","doi":"10.1145/99412.99430","DOIUrl":null,"url":null,"abstract":"As microcomputer technology converges with methods of artificial intelligence, we should see small computing systems that are more responsive to the cognitive functioning of the user. That is, the software should be able to adapt to the user's “cognitive style,” or normal mode of processing information.\nThis paper will discuss one measure of cognitive style, Witkin's model of psychological differentiation, and how it can be used to generate such responsive software systems. The examples are drawn largely from Computer Assisted Instruction (CAI) programs, but the issues are applicable to a broad range of small systems software.","PeriodicalId":147067,"journal":{"name":"Symposium on Small Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adapting software to the user's cognitive style: field dependence-field independence\",\"authors\":\"D. Valentine\",\"doi\":\"10.1145/99412.99430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As microcomputer technology converges with methods of artificial intelligence, we should see small computing systems that are more responsive to the cognitive functioning of the user. That is, the software should be able to adapt to the user's “cognitive style,” or normal mode of processing information.\\nThis paper will discuss one measure of cognitive style, Witkin's model of psychological differentiation, and how it can be used to generate such responsive software systems. The examples are drawn largely from Computer Assisted Instruction (CAI) programs, but the issues are applicable to a broad range of small systems software.\",\"PeriodicalId\":147067,\"journal\":{\"name\":\"Symposium on Small Systems\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Small Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/99412.99430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Small Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/99412.99430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adapting software to the user's cognitive style: field dependence-field independence
As microcomputer technology converges with methods of artificial intelligence, we should see small computing systems that are more responsive to the cognitive functioning of the user. That is, the software should be able to adapt to the user's “cognitive style,” or normal mode of processing information.
This paper will discuss one measure of cognitive style, Witkin's model of psychological differentiation, and how it can be used to generate such responsive software systems. The examples are drawn largely from Computer Assisted Instruction (CAI) programs, but the issues are applicable to a broad range of small systems software.
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