{"title":"Methodology for Reliability Analysis of Human-Machine Interaction in Automated Control Systems","authors":"E. Lavrov","doi":"10.1109/aict52120.2021.9628925","DOIUrl":null,"url":null,"abstract":"The article deals with the problems of the so-called human factor in automated systems. The author substantiates the need for a comprehensive human-system approach to the design and operation of computerized systems of various purposes, describes the functional network methodology used to describe and evaluate operator-automation interaction, analytical and simulation modeling technology to obtain predictive estimates of interaction quality in automated systems (error-freeness, timeliness, information load and operator workload). The author shows the place of the developed models in decision support systems for the design and operation of automated systems.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aict52120.2021.9628925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The article deals with the problems of the so-called human factor in automated systems. The author substantiates the need for a comprehensive human-system approach to the design and operation of computerized systems of various purposes, describes the functional network methodology used to describe and evaluate operator-automation interaction, analytical and simulation modeling technology to obtain predictive estimates of interaction quality in automated systems (error-freeness, timeliness, information load and operator workload). The author shows the place of the developed models in decision support systems for the design and operation of automated systems.