Health Promot Perspect. 2016;6(2): 96-103. doi: 10.15171/hpp.2016.17
PMID: 27386425        PMCID: PMC4932229

Original Article

Assessment of operators’ mental workload using physiological andsubjective measures in cement, city traffic and power plant controlcenters

Majid Fallahi 1, Majid Motamedzade 2 * , Rashid Heidarimoghadam 3, Ali Reza Soltanian 4, Shinji Miyake 5

Cited by CrossRef: 24

1- Chikhi S, Matton N, Blanchet S. EEG power spectral measures of cognitive workload: A meta‐analysis . Psychophysiology. 2022;59(6) [Crossref]
2- Afzal U, Prouzeau A, Lawrence L, Dwyer T, Bichinepally S, Liebman A, Goodwin S. Investigating Cognitive Load in Energy Network Control Rooms: Recommendations for Future Designs. Front Psychol. 2022;13 [Crossref]
3- Joshi S, Herrera R, Springett D, Weedon B, Ramirez D, Holloway C, Dawes H, Ayaz H. Neuroergonomic Assessment of Wheelchair Control Using Mobile fNIRS. IEEE Trans Neural Syst Rehabil Eng. 2020;28(6):1488 [Crossref]
4- Kinney L, O’Hare D. Responding to an Unexpected In-Flight Event: Physiological Arousal, Information Processing, and Performance. Hum Factors. 2020;62(5):737 [Crossref]
5- Devlin S, Byham J, Riggs S. Does What We See Shape History? Examining Workload History as a Function of Performance and Ambient/Focal Visual Attention. ACM Trans Appl Percept. 2021;18(2):1 [Crossref]
6- Soltanzadeh A, Sadeghi Yarandi M, Mirzaei Aliabadi M, Mahdinia M. Modeling cause-and-effect relationships among predictive variables of human error based on the fuzzy multi-criteria decision-making method. Theoretical Issues in Ergonomics Science. 2022;23(3):259 [Crossref]
7- Zhu R, Wang Z, Ma X, You X. High expectancy influences the role of cognitive load in inattentional deafness during landing decision-making. Applied Ergonomics. 2022;99:103629 [Crossref]
8- Gogna Y, Tiwari S, Singla R. Towards a versatile mental workload modeling using neurometric indices. 2023;0(0) [Crossref]
9- Ismail L, Karwowski W. A Graph Theory-Based Modeling of Functional Brain Connectivity Based on EEG: A Systematic Review in the Context of Neuroergonomics. IEEE Access. 2020;8:155103 [Crossref]
10- Mahdinia M, Sadeghi Yarandi M, Fallah H, Soltanzadeh A. Modeling cause-and-effect relationships among variables affecting work stress based on fuzzy DEMATEL method. JPMH. 2022;21(4):341 [Crossref]
11- Ji Z, Tang J, Wang Q, Xie X, Liu J, Yin Z. Cross-task cognitive workload recognition using a dynamic residual network with attention mechanism based on neurophysiological signals. Computer Methods and Programs in Biomedicine. 2023;230:107352 [Crossref]
12- Ghalenoei M, Mortazavi S, Mazloumi A, Pakpour A. Impact of workload on cognitive performance of control room operators. Cogn Tech Work. 2022;24(1):195 [Crossref]
13- Abbasi A, Motamedzadeh M, Aliabadi M, Golmohammadi R, Tapak L. The impact of indoor air temperature on the executive functions of human brain and the physiological responses of body. Health Promot Perspect. 2019;9(1):55 [Crossref]
14- Campoya Morales Á, Hernández Arellano J, Maldonado Macías A, Rodríguez Y, Ochoa-Ortiz C. Comparing workload and performance during demanding push force and mental tasks. WOR. 2022;:1 [Crossref]
15- Sumińska S, Nowak K, Łukomska B, Cygan H. Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study. International Journal of Occupational Safety and Ergonomics. 2021;27(3):686 [Crossref]
16- Abareshi F, Salimi F, Farnia F, Fallahi M, Rastaghi S. The impact of mental workload, work-related and socio-demographic factors on job burnout among emergency medical staff. WOR. 2022;72(4):1269 [Crossref]
17- Pakarinen S, Korpela J, Torniainen J, Laarni J, Karvonen H. Cardiac measures of nuclear power plant operator stress during simulated incident and accident scenarios. Psychophysiology. 2018;55(7):e13071 [Crossref]
18- Campbell A, Mattoni M, Yefimov M, Adapa K, Mazur L. Improving Cognitive Workload in Radiation Therapists: A Pilot EEG Neurofeedback Study. Front Psychol. 2020;11 [Crossref]
19- Ismail L, Karwowski W, Mumtaz W. Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis. PLoS ONE. 2020;15(12):e0242857 [Crossref]
20- Kuatsjah E, Zhang X, Khoshnam M, Menon C. Two-channel in-ear EEG system for detection of visuomotor tracking state: A preliminary study. Medical Engineering & Physics. 2019;68:25 [Crossref]
21- Aricò P, Borghini G, Di Flumeri G, Sciaraffa N, Babiloni F. Passive BCI beyond the lab: current trends and future directions. Physiol Meas. 2018;39(8):08TR02 [Crossref]
22- De La Vega R, Anabalón H, Jara C, Villamil-Cabello E, Chervellino M, Calvo-Rodríguez Á. Effectiveness of Mobile Technology in Managing Fatigue: Balert App. Front Psychol. 2021;12 [Crossref]

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