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Showing 3 results for Cognitive Failure
Examining the Role of Fatigue and Cognitive Failures in Predicting Work Situation Awareness Among Employees of Pars Khodro Company
Fariba Kiani, Mohammad Reza Khodabakhsh,
Volume 4, Issue 4 (3-2017)
Abstract

Introduction: Studies have shown that one of the factors affecting occupational injuries is employees’ awareness of work situation. Therefore, it is important to identify factors affecting situational awareness. The aim of this study was to investigate the role of fatigue and cognitive failures in predicting work situation awareness among employees.

Methods: This study was a cross-sectional study with a descriptive-correlational design. The sample consisted of 154 employees of the Tehran Pars Khodro Company in 2015, who was selected by stratified random sampling method and responded to questionnaires of fatigue from Chalder et al. (1993), cognitive failures from Broadbent et al. (1982) and work situation awareness of Sneddon et al. (2006). Data were analyzed using Pearson correlation coefficient and stepwise regression analysis.

Results: The results showed that there were significant relationships between fatigue, cognitive failures and work situation awareness (P < 0.01). Also, fatigue and cognitive failures predicted almost 14% and 25% of the variance of work situation awareness among employees, respectively (P < 0.05).

Conclusions: The reduction of employees’ cognitive and emotional capacity could reduce their awareness of work situation.


The Survey of Relationship between the Sleep Quality with Cognitive Failures and Job Performance among Airport Staff
Mis Afrouz Rostampour, Mr Heidar Mohammadi, Mr Razzagh Rahimpour, Mis Fatemeh Sarvi, Mis Elahe Dortaj, Mr Mansour Ziaei, Mis Simin Safarpour, Mr Abdolrasoul Rahmani,
Volume 9, Issue 4 (3-2022)
Abstract
Background and Objectives: Mental and physical fatigue of airport staff reduces their job standards and productive concentration. The objective of this study was to examine the sleep quality and its effect on cognitive failure and job performance among airport staffs.
Methods: In this descriptive-analytical study, 200 staff of an airport were chosen by simple random sampling method. The data collecting tools were four questionnaires that comprised demographic characteristics, sleep quality, cognitive failures, and job performance. Data was analysed using descriptive statistics and regression tests.
Results: Based on the findings, the mean total scores of the sleep quality, cognitive failures, and job performance were 6.78 ± 3.23, 65.22 ± 20.36 and 39.59 ± 5.59, respectively. The results showed that the mean score of sleep quality in the two areas of sleep latency (1.5 ± 0.82) and sleep duration (1.43 ± 1.05) was higher than other subscales. According to the findings, there was a significant inverse relationship between sleep quality score and cognitive failures score with job performance score (r = -0.195, P < 0.05), While the sleep quality score and cognitive failure score showed a positive and significant correlation (r = 0.389, P < 0.05).
Conclusion: The findings demonstrated a significant relationship between sleep quality and cognitive failure, so that with decreasing this factor, cognitive failure of airport staff also increased and the probability of the human error increased. Therefore, enhancing the sleep quality and comfort by providing ergonomic solutions the cognitive failure in staff and consequently job performance would be greatly prevented.

Psychometrics of an Occupational Cognitive Failures Questionnaire for Heavy Machinery Operators in Road and Urban Construction: A Study of Validity and Reliability
Moein Darestani, Leili Tapak, Mostafa Mirzaie Aliabadi, Neda Mahdavi,
Volume 11, Issue 3 (12-2023)
Abstract
Objectives: Today we are witnessing tremendous growth in construction and the use of heavy machinery. As a significant portion of human errors is attributed to cognitive failures, there is a need for robust tools to assess these cognitive failures. Therefore, the primary goal of this study was to investigate the psychometrics of the current Occupational Cognitive Failures Questionnaire for Heavy Machinery Operators in Road and Urban Construction.
Methods: A total of 84 drivers of road and urban construction machinery were selected by simple random sampling method. Initially, job-related items for these people were selected for inclusion in the questionnaire, irrelevant items were removed, and proposed items were added. To assess structural validity, the tool was administered to 10 experts. Then, content validity ratios (CVR) and content validity indices (CVI) were determined for each of the items and evaluated using confirmatory factor analysis conducted in AMOS software (version 23). Cronbach's alpha coefficient was used to measure reliability. Data were analyzed in SPSS software (version 20).
Results: The final questionnaire comprised 16 items, with CVR and CVI leading to their inclusion in the final structure. The CVR of the questionnaire was 0.90. Additionally, the indices of the fitted model included CMIN/DF, TLI, CFI, IFI, GFI, AGFI, and RMSE, which were obtained at 1.16, 0.851, 0.88, 0.898, 0.86, 0.802, and 0.044, respectively. The Cronbach's alpha coefficient was calculated at 0.633.
Conclusion: The psychometrics of the Cognitive Failures Questionnaire demonstrated suitable validity and reliability for heavy machinery operators in road and urban construction. It can be effectively used for ergonomic evaluations.

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