Thomas A. Ulrich, Ronald L. Boring, Roger Lew, Timothy A. Whiting
{"title":"Rancor Computer-Based Procedures – A Framework For Task Level Human Performance Data Collection","authors":"Thomas A. Ulrich, Ronald L. Boring, Roger Lew, Timothy A. Whiting","doi":"10.1177/21695067231196242","DOIUrl":null,"url":null,"abstract":"To support new and novel concepts of operations for the anticipated wave of advanced nuclear reactor deployments, human factors and human reliability analysis researchers need to develop advanced simulationbased approaches. The lack of standardized HRA models and human performance data is not new and has outlasted numerous potential solutions. This paper presents a Rancor microworld simulation with computerbased procedures that serve as a framework to classify human behaviors without manual or subjective experimenter coding during scenarios. This method supports a detailed level of analysis at the task level. It is feasible for the collecting large sample sizes required to develop quantitative modelling elements that have historically challenged traditional full-scope simulator study approaches.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"51 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/21695067231196242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To support new and novel concepts of operations for the anticipated wave of advanced nuclear reactor deployments, human factors and human reliability analysis researchers need to develop advanced simulationbased approaches. The lack of standardized HRA models and human performance data is not new and has outlasted numerous potential solutions. This paper presents a Rancor microworld simulation with computerbased procedures that serve as a framework to classify human behaviors without manual or subjective experimenter coding during scenarios. This method supports a detailed level of analysis at the task level. It is feasible for the collecting large sample sizes required to develop quantitative modelling elements that have historically challenged traditional full-scope simulator study approaches.