Developing an Objective Indicator of Fatigue: An Alternative Mobile Version of the Psychomotor Vigilance Task (m-PVT)

Approximately 20% of the working population report symptoms of feeling fatigued at work. The aim of the study was to investigate whether an alternative mobile version of the ‘gold standard’ Psychomotor Vigilance Task (PVT) could be used to provide an objective indicator of fatigue in staff working in applied safety critical settings such as train driving, hospital staffs, emergency services, law enforcements, etc., using different mobile devices. 26 participants mean age 20 years completed a 25-min reaction time study using an alternative mobile version of the Psychomotor Vigilance Task (m-PVT) that was implemented on either an Apple iPhone 6s Plus or a Samsung Galaxy Tab 4. Participants attended two sessions: a morning and an afternoon session held on two consecutive days counterbalanced. It was found that the iPhone 6s Plus generated both mean speed responses (1/RTs) and mean reaction times (RTs) that were comparable to those observed in the literature while the Galaxy Tab 4 generated significantly lower 1/RTs and slower RTs than those found with the iPhone 6s Plus. Furthermore, it was also found that the iPhone 6s Plus was sensitive enough to detect lower mean speed of responses (1/RTs) and significantly slower mean reaction times (RTs) after 10-min on the m-PVT. In contrast, it was also found that the Galaxy Tab 4 generated mean number of lapses that were significant after 5-min on the m-PVT. These findings seem to indicate that the m-PVT could be used to provide an objective indicator of fatigue in staff working in applied safety critical settings such as train driving, hospital staffs, emergency services, law enforcements, etc.

[1]  Rosa H. M. Chan,et al.  An evaluation of mental workload with frontal EEG , 2017, PloS one.

[2]  Glenn F. Wilson,et al.  Workload assessment in multi-task environments , 2020 .

[3]  D. Dinges,et al.  A new likelihood ratio metric for the psychomotor vigilance test and its sensitivity to sleep loss , 2015, Journal of sleep research.

[4]  R. Kronauer,et al.  Dose-response relationship between sleep duration and human psychomotor vigilance and subjective alertness. , 1999, Sleep.

[5]  Peter Chapman,et al.  Mental workload is reflected in driver behaviour, physiology, eye movements and prefrontal cortex activation. , 2018, Applied ergonomics.

[6]  Maarten A. Hogervorst,et al.  Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload , 2014, Front. Neurosci..

[7]  D. Dinges,et al.  Validity and Sensitivity of a Brief Psychomotor Vigilance Test (PVT-B) to Total and Partial Sleep Deprivation. , 2011, Acta astronautica.

[8]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[9]  J. Dorrian,et al.  The validity of psychomotor vigilance tasks of less than 10-minute duration , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[10]  D M Gaba,et al.  Measuring the Workload of the Anesthesiologist , 1990, Anesthesia and analgesia.

[11]  D. Dawson,et al.  Can a Shorter Psychomotor Vigilance Task Be Usedas a Reasonable Substitute for the Ten‐Minute Psychomotor Vigilance Task? , 2006, Chronobiology international.

[12]  Luca Longo,et al.  Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance , 2017, INTERACT.

[13]  D. Dinges,et al.  Performing while sleepy: Effects of experimentally-induced sleepiness. , 1991 .

[14]  D. Dinges,et al.  Psychomotor Vigilance Performance: Neurocognitive Assay Sensitive to Sleep Loss , 2004 .

[15]  Christiane,et al.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2004, Journal international de bioethique = International journal of bioethics.

[16]  Benjamin Brooks,et al.  Measuring mental workload and physiological reactions in marine pilots: Building bridges towards redlines of performance. , 2018, Applied ergonomics.

[17]  J. Dorrian,et al.  The sensitivity of a palm-based psychomotor vigilance task to severe sleep loss , 2008, Behavior research methods.

[18]  David F. Dinges,et al.  Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations , 1985 .

[19]  G. Salvendy,et al.  Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments , 2000 .

[20]  Srinivasan Rajaraman,et al.  PC-PVT: A platform for psychomotor vigilance task testing, analysis, and prediction , 2013, Behavior research methods.

[21]  Christopher D. Wickens,et al.  Mental Workload: Assessment, Prediction and Consequences , 2017, H-WORKLOAD.

[22]  D. Dinges,et al.  Vigilance decrement and sleepiness. , 1994 .

[23]  I. Z. Sutalaksana,et al.  The sensitivity of Galvanic Skin Response for assessing mental workload in Indonesia. , 2017, Work.

[24]  J. Dorrian,et al.  Work hours, workload, sleep and fatigue in Australian Rail Industry employees. , 2011, Applied ergonomics.

[25]  Mao-Jiun J. Wang,et al.  Effective Indices for Monitoring Mental Workload While Performing Multiple Tasks , 2015, Perceptual and motor skills.

[26]  A. Byrne,et al.  Novel method of measuring the mental workload of anaesthetists during clinical practice. , 2009, British journal of anaesthesia.

[27]  Rodrigo C. Vergara,et al.  Cold-Blooded Attention: Finger Temperature Predicts Attentional Performance , 2017, Front. Hum. Neurosci..

[28]  Angel Jiménez Molina,et al.  Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing , 2018, Sensors.

[29]  F. Aghazadeh,et al.  Analysis of the sensitivity of heart rate variability and subjective workload measures in a driving simulator: The case of highway work zones , 2018, International Journal of Industrial Ergonomics.

[30]  Barbara Deml,et al.  Electrocardiographic features for the measurement of drivers' mental workload. , 2017, Applied ergonomics.

[31]  Catherine Berthelon,et al.  Mental workload and driving , 2014, Front. Psychol..

[32]  D. Dinges,et al.  Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. , 2011, Sleep.

[33]  Joel S. Warm,et al.  Vigilance Requires Hard Mental Work and Is Stressful , 2008, Hum. Factors.

[34]  Jacob Cohen Measurement Educational and Psychological Educational and Psychological Measurement Eta-squared and Partial Eta-squared in Fixed Factor Anova Designs Educational and Psychological Measurement Additional Services and Information For , 2022 .

[35]  Drew Dawson,et al.  Fatigue assessment in the field: validation of a hand-held electronic psychomotor vigilance task. , 2005, Aviation, space, and environmental medicine.

[36]  Abdelaziz Ait Moussa,et al.  Brain-computer interface for workload estimation: Assessment of mental efforts in learning processes , 2018, Expert Syst. Appl..

[37]  Aidan Byrne,et al.  Mental Workload as an Outcome in Medical Education , 2017, H-WORKLOAD.

[38]  M Koehoorn,et al.  Age related differences in work injuries and permanent impairment: a comparison of workers’ compensation claims among adolescents, young adults, and adults , 2003, Occupational and environmental medicine.

[39]  J. Dorrian,et al.  sleep, circadian phase, and performance The impact of a week of simulated night work on , 2010 .

[40]  M Myrtek,et al.  Physical, mental, emotional, and subjective workload components in train drivers. , 1994, Ergonomics.

[41]  Andrew P. Smith,et al.  Workload, Fatigue and Performance in the Rail Industry , 2017, H-WORKLOAD.

[42]  P. Hancock,et al.  Human Mental Workload , 1988 .

[43]  M. Orne,et al.  Temporal placement of a nap for alertness: contributions of circadian phase and prior wakefulness. , 1987, Sleep.

[44]  Wolzt,et al.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2003, The Journal of the American College of Dentists.

[45]  Barry H. Kantowitz,et al.  Mental Workload , 2020, Encyclopedia of Behavioral Medicine.

[46]  Peter G. Roma,et al.  A rodent model of the human psychomotor vigilance test: Performance comparisons , 2016, Journal of Neuroscience Methods.

[47]  Maria L. Thomas,et al.  Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose‐response study , 2003, Journal of sleep research.

[48]  J. Dorrian,et al.  Train driving efficiency and safety: examining the cost of fatigue , 2007, Journal of sleep research.

[49]  Michelle N. Lumicao,et al.  EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. , 2007, Aviation, space, and environmental medicine.

[50]  G. Borghini,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[51]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[52]  A. Pack,et al.  Cumulative sleepiness, mood disturbance, and psychomotor vigilance performance decrements during a week of sleep restricted to 4-5 hours per night. , 1997, Sleep.

[53]  Daniel Gopher,et al.  Workload: An examination of the concept. , 1986 .

[54]  D. Dinges,et al.  Sleep, circadian rhythms, and psychomotor vigilance. , 2005, Clinics in sports medicine.

[55]  Adam Fletcher,et al.  Simulated train driving: fatigue, self-awareness and cognitive disengagement. , 2007, Applied ergonomics.

[56]  Matthew W. Miller,et al.  Measurement of attentional reserve and mental effort for cognitive workload assessment under various task demands during dual-task walking , 2018, Biological Psychology.

[57]  Michael K. Johnson,et al.  Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements , 2018, IEEE Transactions on Cognitive and Developmental Systems.

[58]  Luca Longo Designing Medical Interactive Systems Via Assessment of Human Mental Workload , 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

[59]  Julia Frankfurter,et al.  Mental Workload Its Theory And Measurement , 2016 .

[60]  D. de Waard,et al.  Assessment of drivers' workload: performance, subjective and physiological indices , 2001 .