{"title":"SA-Tracer: A tool for assessment of UAV swarm operator SA during mission execution","authors":"Florian Frische, A. Lüdtke","doi":"10.1109/COGSIMA.2013.6523849","DOIUrl":null,"url":null,"abstract":"Maintenance of Situation Awareness (SA) during supervision of a swarm of highly autonomous Unmanned Aerial Vehicles (UAV) is a complex and visually demanding process. A solution for supporting UAV operators are Intelligent SA-Adaptive Interfaces (ISAAI), which dynamically adapt to the individual SA needs of operators. However, the successful deployment of ISAAIs depends on a suitable tool for assessing operator SA during mission execution. In this paper we present the tool SA-Tracer. SA-Tracer implements a formal situation model and analyses the scanning behaviour of UAV swarm operators in order to infer and assess SA on a formal basis. We present results of a first experiment performed in order to evaluate the suitability of SA-Tracer for the intended context of use and the validity of SA assessments produced by the tool.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2013.6523849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Maintenance of Situation Awareness (SA) during supervision of a swarm of highly autonomous Unmanned Aerial Vehicles (UAV) is a complex and visually demanding process. A solution for supporting UAV operators are Intelligent SA-Adaptive Interfaces (ISAAI), which dynamically adapt to the individual SA needs of operators. However, the successful deployment of ISAAIs depends on a suitable tool for assessing operator SA during mission execution. In this paper we present the tool SA-Tracer. SA-Tracer implements a formal situation model and analyses the scanning behaviour of UAV swarm operators in order to infer and assess SA on a formal basis. We present results of a first experiment performed in order to evaluate the suitability of SA-Tracer for the intended context of use and the validity of SA assessments produced by the tool.