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Volume 11, Issue 4 (Iranian Journal of Ergonomics 2024)
Iran J Ergon 2024, 11(4): 240-250 |
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Ethics code: IR.TUMS.SPH.REC.1400.349
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Abdi H, Zakerian S A, Azam K, Khanlari Baniyarani P. Determining the Mental Workload and Investigating Its Effect on Changing the Mood Components of Taxi Drivers in the City of Qazvin. Iran J Ergon 2024; 11 (4) :240-250
URL: http://journal.iehfs.ir/article-1-992-en.html
URL: http://journal.iehfs.ir/article-1-992-en.html
1- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran , zakerian@tums.ac.ir
3- Department of Epidemiology and Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran , zakerian@tums.ac.ir
3- Department of Epidemiology and Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran, Iran
Abstract: (762 Views)
Objectives: Road accidents and related damages and casualties are among the most important concerns of today's societies. Mental workload is one of the main human factors that can cause other factors, such as stress and anger. The present study was conducted to investigate the mental workload and its effect on changing the components of drivers' moods.
Methods: A total of 88 tour taxi drivers from Qazvin City participated in this study to examine the desired components. The driving Activity Load Index was used to evaluate mental load and the Profile of Mood States questionnaire to measure drivers' mood components. Based on the designed scenario of driving on high-traffic roads, the desired variables were evaluated. To check the relationship between these variables, paired t-tests and Pearson correlation analysis were used in SPSS version 24 software.
Results: The mean scores of the drivers' work history and age were obtained at 46.60±10.12 and 13.47±9.39 years, respectively. The obtained findings showed that driving on high-traffic roads significantly increased the average mental workload of drivers (P<0.001). Growth in the drivers' mental workload led to a decrease in some mood components that had a positive effect, such as happiness (r=-0.143, P=0.157) and vitality (r=-0.646, P=0.050), while it resulted in a rise in the mood component of depression (r=0.020, P= 0.248).
Conclusion: Based on the findings of the study, it can be concluded that as driving continues, drivers experience a rise in mental workload. However, there was no correlation regarding the effect of this component on the mood components.
Methods: A total of 88 tour taxi drivers from Qazvin City participated in this study to examine the desired components. The driving Activity Load Index was used to evaluate mental load and the Profile of Mood States questionnaire to measure drivers' mood components. Based on the designed scenario of driving on high-traffic roads, the desired variables were evaluated. To check the relationship between these variables, paired t-tests and Pearson correlation analysis were used in SPSS version 24 software.
Results: The mean scores of the drivers' work history and age were obtained at 46.60±10.12 and 13.47±9.39 years, respectively. The obtained findings showed that driving on high-traffic roads significantly increased the average mental workload of drivers (P<0.001). Growth in the drivers' mental workload led to a decrease in some mood components that had a positive effect, such as happiness (r=-0.143, P=0.157) and vitality (r=-0.646, P=0.050), while it resulted in a rise in the mood component of depression (r=0.020, P= 0.248).
Conclusion: Based on the findings of the study, it can be concluded that as driving continues, drivers experience a rise in mental workload. However, there was no correlation regarding the effect of this component on the mood components.
Type of Study: Research |
Subject:
Other Cases
Received: 2023/12/10 | Accepted: 2024/01/30 | ePublished: 2024/01/30
Received: 2023/12/10 | Accepted: 2024/01/30 | ePublished: 2024/01/30
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