Analyzing the staffing and workload in the main control room of the advanced nuclear power plant from the human information processing perspective

Lin, Chiuhsiang Joe; Yenn, Tzu-Chung; Jou, Yung‐Tsan; Hsieh, Tsung-Ling; Yang, Chih‐Wei

doi:10.1016/j.ssci.2013.02.004

Cited by 21 publications

(12 citation statements)

References 32 publications

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“…The audio-recording from the interviews was used for transcribing [22][23][24][25][26][27][28][29][30][31] each of them verbatim, i.e., the transcription included every word of the audio-recording and so represented just the way it was said. The analysis and classification were conducted in two distinct phases.…”

Section: Discussionmentioning

confidence: 99%

“…Control rooms can be found in nuclear power plants [30,11,31], mineral processing plants [28,29], oil refineries [48], emergency warning systems [36,23,3,49]. Although these existing works investigate the physical design of a room and its technological tools, only few of them are focused on analyzing organizational theory and issues [9,60,50].…”

Section: Control Roomsmentioning

confidence: 99%

“…International Journal of Disaster Risk Reduction 28 (2018) [22][23][24][25][26][27][28][29][30][31] at least one specialist in each of the following areas of expertise: hydrology, meteorology, geology, and disaster management specialist. In addition to the video wall, each member has a separate working station where they analyze particular information on their own ( Fig.…”

Section: Fea Horita Et Almentioning

confidence: 99%

“…Monitoring available information 1 and making a decision to issue warnings about potential disaster risks are often carried out in a control room, which is staffed by operators for analyzing environmental variables, identifying potential hazards and vulnerabilities, and communicating warnings with an emergency response team [36,49]. These control rooms have been established not only for disaster risk management, but also areas of interest, such as nuclear power plants [30,11,63,31], mineral processing plants [28,29], and oil refineries [48].…”

Section: Introductionmentioning

confidence: 99%

“…Since social aspects of a control room impact the way how decisions taken, they have been examined in research works existing in the literature [30,11,63,31]. However, although these works have resulted in a better understanding of the procedural, cultural, and social aspects of control rooms in different scenarios, the challenge now is to recognize how those factors can influence decision-making in control rooms for disaster risk monitoring.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

Horita

Albuquerque

Marchezini

2018

International Journal of Disaster Risk Reduction

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warwick.ac.uk/lib-publications A B S T R A C TThe tasks of disaster risk monitoring and early warning are an important means of improving the efficiency of disaster response and preparedness. However, although the current works in this area have sought to provide a more accurate and better technological infrastructure of systems to support these tasks, they have failed to examine key features that may affect the decision-making. In light of this, this paper aims to provide an understanding of the decision-making process in control rooms for disaster risk monitoring and early warning. This understanding is underpinned by a conceptual framework, which has been developed in this work and describes factors that influence the decision-making. For doing so, data were collected through a series of semi-structured interviews and participatory observations and later evaluated with members of the control room of the Brazilian Center for Monitoring and Early Warning of Natural Disasters (Cemaden). The study findings provided a solid basis for designing the conceptual framework of the essential factors required by the decision-makers. These factors are separated into two groups: 1) the "dimensions" of decision-making (i.e., the type of hazard, the phase of the disaster risk, the location, and area of expertise of the operators) and the "pillars" of decision-making (i.e., the tasks, their required information, useful data sources, and the decision rule). Finally, the contributions achieved in this study may help operators to understand and propose proactive measures that could improve their decision-making, overcome uncertainties, standardize the team's decision-making, and put less pressure on operators.

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Section: Discussionmentioning

confidence: 99%

Section: Control Roomsmentioning

confidence: 99%

Section: Fea Horita Et Almentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

Horita

Albuquerque

Marchezini

2018

International Journal of Disaster Risk Reduction

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The Effect of Information Design on Cognitive Processing of Website Navigation

Hsieh

et al. 2014

Hum. Factors Man.

Self Cite

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The information displayed on a website is a critical factor that affects the cognition of internet users. This study adopted a between‐subjects design to examine the effect of the information design of a website and the involvement of internet users on purchasing cognition. The results indicated significant differences between high‐ and low‐quality diagnostic information on the purchasing cognition of subjects. The subjects had better purchasing cognition when navigating a high‐quality diagnostic information website than when navigating a low‐quality diagnostic information website. In addition, there was a significant interactive effect of different qualities of nondiagnostic information and subject involvement on purchasing cognition. Namely, the subjects who had low involvement had better purchasing cognition when navigating a website with high‐quality nondiagnostic information than when browsing one with low‐quality nondiagnostic information, but there was no significant difference between navigating websites with high‐ and low‐quality nondiagnostic information if the subjects had high involvement.

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Selecting lighting system based on workers’ cognitive performance using fuzzy best–worst method and QUALIFLEX

2019

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Analyzing the staffing and workload in the main control room of the advanced nuclear power plant from the human information processing perspective

Cited by 21 publications

References 32 publications

Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil

The Effect of Information Design on Cognitive Processing of Website Navigation

Selecting lighting system based on workers’ cognitive performance using fuzzy best–worst method and QUALIFLEX

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