Analysis of the mental workload of city traffic control operators while monitoring traffic density: A field study

Abstract Introduction It is important to evaluate when and why the mental workload of operators increases during system operation. The city traffic control center (TCC) is a complex work system, and it is important to describe MW as a condition related to this. The purpose of this study is to evaluate the mental workload of operators while monitoring traffic loads in the city TCC. Methods Electroencephalography and electrooculography data were collected from 16 operators while performing their daily work, in four conditions: resting state, low traffic density, high traffic density, and recovery. The Simplified-Subjective Workload Assessment Technique (S-SWAT) was used to evaluate the subjective workload of operators. Results The findings indicate that operators experience a larger mental workload during high traffic density than during low traffic density ( p p Conclusion Although the working situations of TCC operators are repeated daily, their mental fatigue and stress level gradually increase, leading to deterioration in their mental health. It may be necessary periodically to monitor their mental health and to consider their organizational behavior during traffic density monitoring. Relevance to industry complex work systems have increased the requirement for many operators to conduct mental tasks in real work conditions such as city traffic density monitoring. When evaluating such workplaces, it is important to identify situations requiring increased mental workload that might impose additional stress on operators, decreasing their performance. Based on the results, the traffic control center director would be aware of the MW condition of the operators.

[1]  Normand Teasdale,et al.  Mental work stimulates cardiovascular responses through a reduction in cardiac parasympathetic modulation in men and women , 2013 .

[2]  W. N. Dember,et al.  Sex differences in vigilance performance and perceived workload. , 1993, The Journal of general psychology.

[3]  Carolyne R Swain,et al.  Electrophysiological, behavioral, and subjective indexes of workload when performing multiple tasks: manipulations of task difficulty and training. , 1999, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[4]  Gernot R. Müller-Putz,et al.  Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface , 2014, Biological Psychology.

[5]  R. Goonetilleke,et al.  Simplified subjective workload assessment technique , 2001, Ergonomics.

[6]  Louise Venables,et al.  The influence of task demand and learning on the psychophysiological response. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[7]  Peter A. Hancock,et al.  The Effect of Prior Task Loading on Mental Workload , 2011, Hum. Factors.

[8]  Okan Duru,et al.  Mental Workload of the VTS Operators by Utilising Heart Rate , 2007 .

[9]  A. Hegyi,et al.  A fuzzy decision support system for traffic control centers , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[10]  Tal Oron-Gilad,et al.  Alertness maintaining tasks (AMTs) while driving. , 2008, Accident; analysis and prevention.

[11]  Hankins Tc,et al.  A comparison of heart rate, eye activity, EEG and subjective measures of pilot mental workload during flight. , 1998, Aviation, space, and environmental medicine.

[12]  Angela Didomenico,et al.  Effects of different physical workload parameters on mental workload and performance , 2011 .

[13]  Michael E. Smith,et al.  Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods , 1998, Hum. Factors.

[14]  N. Abazari,et al.  Cooperating Mobile GIS and Wireless Sensor Networks for Managing Transportation Infrastructures in Urban areas , 2013 .

[15]  Hamed Jafarian,et al.  Performance Evaluation of Intelligent Adaptive Traffic Control Systems: A Case Study , 2012 .

[16]  B. Cain A Review of the Mental Workload Literature , 2007 .

[17]  M. Sterman,et al.  Concepts and applications of EEG analysis in aviation performance evaluation , 1995, Biological Psychology.

[18]  Asit Dey,et al.  Sensitivity and diagnosticity of NASA-TLX and simplified SWAT to assess the mental workload associated with operating an agricultural sprayer , 2010, Ergonomics.

[19]  Michael Newman,et al.  Information system design, stress and organisational change in the ambulance services: A tale of two cities , 1996 .

[20]  Ying Le-an,et al.  Brief review on physiological and biochemical evaluations of human mental workload , 2012 .

[21]  Christopher D. Wickens,et al.  Workload Assessment and Prediction , 1990 .

[22]  Ronald L. Boring,et al.  Advantages and disadvantages of physiological assessment for next generation control room design , 2007, 2007 IEEE 8th Human Factors and Power Plants and HPRCT 13th Annual Meeting.

[23]  Shayne Loft,et al.  Modeling and Predicting Mental Workload in En Route Air Traffic Control: Critical Review and Broader Implications , 2007, Hum. Factors.

[24]  Thomas W. Hoyes,et al.  Workload variation, intrinsic risk and utility in a simulated air traffic control task: Evidence for compensatory effects , 1996 .

[25]  L. McEvoy,et al.  The impact of moderate sleep loss on neurophysiologic signals during working-memory task performance. , 2002, Sleep.

[26]  F. Yamada Frontal midline theta rhythm and eyeblinking activity during a VDT task and a video game: useful tools for psychophysiology in ergonomics. , 1998, Ergonomics.

[27]  Kilseop Ryu,et al.  Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic , 2005 .

[28]  Selangor Darul Ehsan,et al.  Congestion Pricing Scheme in Mashhad, Iran: Overview Description, Impacts and Behavioural Responsiveness , 2012 .

[29]  Thomas E. Nygren,et al.  The Subjective Workload Assessment Technique: A Scaling Procedure for Measuring Mental Workload , 1988 .

[30]  T. Finkenzeller,et al.  Frontal midline theta in the pre-shot phase of rifle shooting: Differences between experts and novices , 2008, Neuropsychologia.

[31]  W. Klimesch,et al.  Theta synchronization and alpha desynchronization in a memory task. , 1997, Psychophysiology.

[32]  V. David Hopkin Human Factors In Air Traffic Control , 1995 .

[33]  Rohae Myung,et al.  Quantitative prediction of mental workload with the ACT-R cognitive architecture , 2012 .

[34]  Glenn F. Wilson,et al.  Operator Functional State Classification Using Multiple Psychophysiological Features in an Air Traffic Control Task , 2003, Hum. Factors.

[35]  Michael E. Smith,et al.  Monitoring Task Loading with Multivariate EEG Measures during Complex Forms of Human-Computer Interaction , 2001, Hum. Factors.

[36]  Masaharu Kumashiro,et al.  A normal intensity level of psycho-physiological stress can benefit working memory performance at high load , 2014 .

[37]  J. Veltman,et al.  Physiological workload reactions to increasing levels of task difficulty. , 1998, Ergonomics.

[38]  Joost C. F. de Winter,et al.  Controversy in human factors constructs and the explosive use of the NASA-TLX: a measurement perspective , 2014, Cognition, Technology & Work.

[39]  Ari Widyanti,et al.  Cultural influences on the measurement of subjective mental workload , 2011 .

[40]  Gerhard Tröster,et al.  Monitoring of mental workload levels during an everyday life office-work scenario , 2013, Personal and Ubiquitous Computing.

[41]  S. Miyake,et al.  Cardiovascular reactivity to mental stress: relationship with menstrual cycle and gender. , 2004, Journal of physiological anthropology and applied human science.

[42]  Glenn F. Wilson,et al.  Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks , 2003, Hum. Factors.

[43]  A. O. Dick,et al.  Operator Workload: Comprehensive Review and Evaluation of Operator Workload Methodologies , 1989 .