TY - GEN
T1 - An empirical study on the use of the rancor microworld simulator to support fullscope data collection
AU - Park, Jooyoung
AU - Ulrich, Thomas A.
AU - Boring, Ronald L.
AU - Lee, Sungheon
AU - Park, Bumjun
AU - Kim, Jonghyun
N1 - Publisher Copyright:
© ESREL 2020-PSAM15 Organizers. Published by Research Publishing, Singapore.
PY - 2020
Y1 - 2020
N2 - Lack of data is a major challenge in human reliability analysis (HRA). Accordingly, several institutes and researchers have tried to collect HRA data from different data sources, such as actual historical measurements, expert judgements, and simulator studies. While the most recent studies predominantly focus on collecting data using full-scope simulators with actual operators, Idaho National Laboratory (INL) now collects HRA data using the Rancor Microworld simulator, a simplified simulator, with student participants. Full-scope studies are known to pose intrinsic challenges for securing adequate data. This is due to many reasons, including the high cost of experiments and the necessity for cooperation with actual operators. INL aims to infer actual-operator data via a full-scope simulator using Microworld data and student subjects, as well as additional data perhaps missed in the full-scope research. As a first step toward achieving this goal, this paper proposes an experimental plan for investigating differences in human performance between individuals in two groups: 1) actual operators and 2) students using the Rancor Microworld simulator. A randomized factorial experiment design was developed with two independent variables: type of scenario and type of subject. Six human performance measurements—1) time, 2) error, 3) workload, 4) situational awareness, 5) attention patterns, and 6) number of manipulations—were selected. A couple scenarios and related procedures to be simulated by Rancor Microworld were then developed.
AB - Lack of data is a major challenge in human reliability analysis (HRA). Accordingly, several institutes and researchers have tried to collect HRA data from different data sources, such as actual historical measurements, expert judgements, and simulator studies. While the most recent studies predominantly focus on collecting data using full-scope simulators with actual operators, Idaho National Laboratory (INL) now collects HRA data using the Rancor Microworld simulator, a simplified simulator, with student participants. Full-scope studies are known to pose intrinsic challenges for securing adequate data. This is due to many reasons, including the high cost of experiments and the necessity for cooperation with actual operators. INL aims to infer actual-operator data via a full-scope simulator using Microworld data and student subjects, as well as additional data perhaps missed in the full-scope research. As a first step toward achieving this goal, this paper proposes an experimental plan for investigating differences in human performance between individuals in two groups: 1) actual operators and 2) students using the Rancor Microworld simulator. A randomized factorial experiment design was developed with two independent variables: type of scenario and type of subject. Six human performance measurements—1) time, 2) error, 3) workload, 4) situational awareness, 5) attention patterns, and 6) number of manipulations—were selected. A couple scenarios and related procedures to be simulated by Rancor Microworld were then developed.
KW - Data collection
KW - Human performance
KW - Human reliability analysis
KW - Probabilistic safety assessment
KW - Rancor Microworld
KW - Simulator study
UR - https://www.scopus.com/pages/publications/85107317921
U2 - 10.3850/978-981-14-8593-0_3859-cd
DO - 10.3850/978-981-14-8593-0_3859-cd
M3 - Conference contribution
AN - SCOPUS:85107317921
SN - 9789811485930
T3 - Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
SP - 2533
EP - 2537
BT - Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
A2 - Baraldi, Piero
A2 - Di Maio, Francesco
A2 - Zio, Enrico
PB - Research Publishing, Singapore
T2 - 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020
Y2 - 1 November 2020 through 5 November 2020
ER -