{"title":"联合认知系统：设计更安全、更具复原力的自动化系统的具有影响力的想法","authors":"Laura Maguire","doi":"10.1109/ms.2024.3362648","DOIUrl":null,"url":null,"abstract":"In the last Failure Mode article, we looked at how observability and explainability are critical—but insufficient—design elements of a reliable human-machine team. In this article, we connect ideas and research from cognitive systems engineering into high-impact design principles for improving safety and reliability of highly automated and intelligent systems.","PeriodicalId":55018,"journal":{"name":"IEEE Software","volume":"64 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Cognitive Systems: Ideas With Impact for Designing Safer, More Resilient Automated Systems\",\"authors\":\"Laura Maguire\",\"doi\":\"10.1109/ms.2024.3362648\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last Failure Mode article, we looked at how observability and explainability are critical—but insufficient—design elements of a reliable human-machine team. In this article, we connect ideas and research from cognitive systems engineering into high-impact design principles for improving safety and reliability of highly automated and intelligent systems.\",\"PeriodicalId\":55018,\"journal\":{\"name\":\"IEEE Software\",\"volume\":\"64 1\",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Software\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/ms.2024.3362648\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Software","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/ms.2024.3362648","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Joint Cognitive Systems: Ideas With Impact for Designing Safer, More Resilient Automated Systems
In the last Failure Mode article, we looked at how observability and explainability are critical—but insufficient—design elements of a reliable human-machine team. In this article, we connect ideas and research from cognitive systems engineering into high-impact design principles for improving safety and reliability of highly automated and intelligent systems.
期刊介绍：
IEEE Software delivers reliable, useful, leading-edge software development information to keep engineers and managers abreast of rapid technology change. Its mission is to build the community of leading software practitioners. The authority on translating software theory into practice, this magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peerreviewed articles and columns by seasoned practitioners illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, Web applications and opportunities, testing, and usability. The magazine''s readers specify, design, document, test, maintain, purchase, engineer, sell, teach, research, and manage the production of software or systems that include software. IEEE Software welcomes articles describing how software is developed in specific companies, laboratories, and university environments as well as articles describing new tools, current trends, and past projects'' limitations and failures as well as successes. Sample topics include geographically distributed development; software architectures; program and system debugging and testing; the education of software professionals; requirements, design, development, testing, and management methodologies; performance measurement and evaluation; standards; program and system reliability, security, and verification; programming environments; languages and language-related issues; Web-based development; usability; and software-related social and legal issues.
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