Looking for situation awareness in nuclear power plant: uncovering information requirement and influencing factors through a goal-directed task analysis
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Kai Yao
, Yanglong Lu
, Weicheng Zhou , Chengwen Liu , Yingying Wei , Supeng Zhou , Xu Yang and Mingyi Lu
Abstract
Improving the level of situational awareness (SA) can effectively decrease the occurrence of human errors in nuclear power plants (NPPs). However, a significant gap exists in systematically identifying the specific information require to build SA and in quantifying the key influencing factors that influence information acquisition. To address this gap, this study proposed a mixed-methods framework to uncover SA requirements in the context of the water supply deaerator system (ADG). Firstly, this study employed Goal-Directed Task Analysis (GDTA) through interviews with experienced operators to establish a hierarchical model of SA information needs. This model was used to reveal the operator’s SA information requirement during the operation of ADG system, and the information was divided into three levels. Subsequently, the combination of the entropy weight and the coefficient of variation methods were used to determine the relative importance of SA influencing factors. This research contributes a detailed, operationalized SA information model for a specific NPPs system, and it provides an empirically-grounded basis for the targeted optimization of human-computer interface (HCI) design and operator training programs, ultimately enhancing NPPs safety.
Acknowledge
This study was supported by the Haizhou Bay Talent Program (No. KQ25014). The author thanks the reviewers for their valuable comments. Also, the authors are grateful to the participants who helped with the research.
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Research ethics: Not applicable.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
- Water hammer analysis of essential service water system in nuclear power plant
- Constant heat flux and flow characteristics of nanofluids in an annular helical tube heat exchanger
- The effects of Gd and Er as burnable absorbers in VVER-1200 assembly using OpenMC: a comparative neutronic study
- Looking for situation awareness in nuclear power plant: uncovering information requirement and influencing factors through a goal-directed task analysis
- Safety, and security monitoring system for spent nuclear fuel dry cask storage
- Calendar of events
Articles in the same Issue
- Frontmatter
- Water hammer analysis of essential service water system in nuclear power plant
- Constant heat flux and flow characteristics of nanofluids in an annular helical tube heat exchanger
- The effects of Gd and Er as burnable absorbers in VVER-1200 assembly using OpenMC: a comparative neutronic study
- Looking for situation awareness in nuclear power plant: uncovering information requirement and influencing factors through a goal-directed task analysis
- Safety, and security monitoring system for spent nuclear fuel dry cask storage
- Calendar of events