{"title":"允许用户通过卡诺分析访问日益复杂的系统","authors":"Akbar R. Khan","doi":"10.1109/MPOT.2015.2423071","DOIUrl":null,"url":null,"abstract":"Systems are getting increasingly complicated based on the increased functionalities demanded by users. The result of this growing complexity has been a correspondingly high challenge for users operating their own systems. At first glance, the obvious solution to this issue may appear to be system simplification and a parallel reduction in operational capability, but this option is not viable because of the increasingly difficult operational environment.","PeriodicalId":39514,"journal":{"name":"IEEE Potentials","volume":"42 1","pages":"15-20"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enabling user access to increasingly complex systems via Kano analysis\",\"authors\":\"Akbar R. Khan\",\"doi\":\"10.1109/MPOT.2015.2423071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Systems are getting increasingly complicated based on the increased functionalities demanded by users. The result of this growing complexity has been a correspondingly high challenge for users operating their own systems. At first glance, the obvious solution to this issue may appear to be system simplification and a parallel reduction in operational capability, but this option is not viable because of the increasingly difficult operational environment.\",\"PeriodicalId\":39514,\"journal\":{\"name\":\"IEEE Potentials\",\"volume\":\"42 1\",\"pages\":\"15-20\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Potentials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MPOT.2015.2423071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Potentials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MPOT.2015.2423071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enabling user access to increasingly complex systems via Kano analysis
Systems are getting increasingly complicated based on the increased functionalities demanded by users. The result of this growing complexity has been a correspondingly high challenge for users operating their own systems. At first glance, the obvious solution to this issue may appear to be system simplification and a parallel reduction in operational capability, but this option is not viable because of the increasingly difficult operational environment.
期刊介绍:
IEEE Potentials is the magazine dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology?s global impact and generates international forums that foster the sharing of diverse ideas about the profession.