{"title":"通过分析模式转换矩阵来理解自动化结构","authors":"S. Vakil, R. Hansman","doi":"10.1109/DASC.1998.741561","DOIUrl":null,"url":null,"abstract":"Mode transition matrices are an extension of standard state diagrams and transition matrices. These matrices can be used as an organizational tool for the analysis of aircraft automation systems composed of multiple modes. This paper explores how these matrices may provide insight into the underlying automation structure and be used in the process of human centered system design.","PeriodicalId":335827,"journal":{"name":"17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Understanding automation structure by analyzing mode transition matrices\",\"authors\":\"S. Vakil, R. Hansman\",\"doi\":\"10.1109/DASC.1998.741561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mode transition matrices are an extension of standard state diagrams and transition matrices. These matrices can be used as an organizational tool for the analysis of aircraft automation systems composed of multiple modes. This paper explores how these matrices may provide insight into the underlying automation structure and be used in the process of human centered system design.\",\"PeriodicalId\":335827,\"journal\":{\"name\":\"17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC.1998.741561\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th DASC. AIAA/IEEE/SAE. Digital Avionics Systems Conference. Proceedings (Cat. No.98CH36267)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.1998.741561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding automation structure by analyzing mode transition matrices
Mode transition matrices are an extension of standard state diagrams and transition matrices. These matrices can be used as an organizational tool for the analysis of aircraft automation systems composed of multiple modes. This paper explores how these matrices may provide insight into the underlying automation structure and be used in the process of human centered system design.