Zahra Ghanbari, Seyed Abolfazl Zakerian, Alireza Choobineh, Mohammad Nami, Faramarz Gharagozlou,
Volume 12, Issue 4 (12-2022)
Abstract
Introduction: Cognitive emotion regulation (CER) strategies define as cognition-based responses according to emotion-eliciting experiences that can change the type and severity of individuals’ reactions and behaviors. This modification may positively or negatively affect cognitive performance and therefore, it is a defining issue in the workplace. Notably, industries such as combined cycle power plants need to hire staff with a high cognitive ability to perform their duties in a highly efficient way. Since CER is of great importance for overall health and cognitive performance, we aimed to evaluate the state of CER among control room operators (CROs) in the Fars combined cycle power plant.
Material and Methods: The CER questionnaire (CERQ) measures nine cognitive coping strategies (i.e., self-blame, other-blame, rumination, catastrophizing, positive refocusing, planning, positive reappraisal, putting into perspective, and acceptance) that are followed when an individual confronts negative events. The CERQ (short version) was administered to 57 male CROs at the Fars combined cycle power plant. The questionnaire also collected demographic data. Statistical analyses were performed using SPSS Version 25.0. For the normality test, Shapiro-Wilk was the method of choice.
Results: Results of the CERQ scoring showed that the median with interquartile range (IQR) in appropriate and inappropriate categories were 3.50 (3.30-4.00) and 2.62 (2.25-3.06), respectively. Of note, age (39.07 ±6.19) and work experience (14.49±6.26) were not significantly correlated with the results of CERQ.
Conclusion: Taken together, adaptive cognitive strategies (acceptance, positive refocusing, planning, positive reappraisal, and putting into perspective) were reported to be used more often than less adaptive strategies. In general, staff strategies were appropriate while facing a negative event. Although assessing CER in high-demand workplaces is necessary, factors such as managerial styles, job engagement, job satisfaction, and larger sample size should be further studied.
Marzieh Izadi Laybidi , Adel Mazloumi , Jebraeil Nasl Saraji, Faramarz Gharagozlou, Amir Homayoun Jafari, Zahra Shirzhiyan, Kamal Azam ,
Volume 13, Issue 3 (9-2023)
Abstract
Introduction: Air traffic control is a very complex process, including multiple human-machine interactions. Human mental workload plays an important role in this process. Nowadays, electroencephalography indexes are considered as new indicators in the field of assessment of mental workload. The purpose of the present study was to investigate the relationship between EEG theta power and mental workload in air traffic control simulation.
Material and Methods: Fourteen air traffic controllers participated in this study. Controllers carried out two scenarios, including low and high workload, based on task load factors in an air traffic control simulator. Mental workload was assessed in these two scenarios by the NASA-TLX questionnaire. EEG signals were continuously recorded during air traffic control tasks. Afterward, absolute theta power was extracted from participants’ EEG using Fast Fourier Transform (FFT) by the MATLAB software and was compared with each other in terms of high and low workload.
Results: The results showed a significant relationship in absolute theta power during low and high workload scenarios in all regions of the brain (p < 0.05). Absolute theta power increased primarily in the frontal region during the high workload scenario. Also, there was a significant increase in the relationship between work experience and absolute theta power at the F3 region during the high workload scenario (P=0.021, r=0.607).
Conclusion: Absolute theta power provides a good parameter to assess mental workload at different levels of air traffic control tasks. Therefore, it can be used as a tool for the design of human-machine complex systems.
