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Approaches at KAIST NICIE Lab to quantifying situation awareness in nuclear power plant MCRs SEONG Poong-Hyun1, YIM Ho-Bin2, KIM Man-Cheol3, HA Jun-Su4, LEE Hyun-Chul5, and LEE Seung-Woo6
1. Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Republic of Korea (phseong@kaist.ac.kr)
2. Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon, 305-701, Republic of Korea (yimhobin@kaist.ac.kr)
3. School of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 156-756, Republic of Korea (charleskim@cau.ac.kr)
4. Nuclear Engineering (Abu Dhabi Campus), Khalifa University of Science, Technology & Research (KUSTAR), P.O.Box 127788, Abu Dhabi, UAE (junsu.ha@kustar.ac.ae)
5. Instrumentation & Control/Human Factors Division, Korea Atomic Energy Research Institute, 1045 Daedeok-daero, Yuseong-gu, Daejeon 305-353, South Korea (leehc@kaeri.re.kr)
6. Risk Assessment Department, Korea Institute of Nuclear Safety, 62 Gwahak-ro, Yuseong-gu, Daejeon, 305-338, Republic of Korea (nswlee@kins.re.kr)
Abstract: Situation awareness (SA) continues to receive a considerable amount of attention from the ergonomics community. But, techniques to measure SA have normally used expert judgment or a self-rating method so far. One of the problems of these techniques is inconsistency of results. So, empirical and analytical studies on an objective and quantitative SA measurement methods have been carried out at Nuclear I&C and Information Engineering Lab (NICIE Lab) in Korea Advanced Institute of Science and Technology (KAIST). Empirical studies are based on physical and cognitive human behaviors, whereas analytical studies are mainly based on Bayesian inference. Eye movement signals and verbal protocol analysis were used for empirical approaches to obtain objective measures. FIR and SAE measures showed feasibility of an eye-tracking method for robust application. TSA score based on a verbal protocol analysis also showed its possibility of team SA (TSA) quantification. Bayesian inference was used for analytical approaches of SA quantification. The analytical quantification method was further expanded to consider some of the important human properties, and a SA modelling tool called ‘CoRSAGE, ver01” was developed.
Keyword: situation awareness; quantification; empirical approach; analytical approach
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