Subjective mental workload of Dutch train dispatchers

Wilms, Marit; Zeilstra, Melcher

doi:10.1201/b13827-84

Cited by 4 publications

(2 citation statements)

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“…The mental workload can be assessed by specific subjective scales. The IWS is a self-rating tool to assess mental workload in real-world settings, and it is sensitive to several environmental and task-related factors in railway industry (Pickup et al, 2005[ 28 ]; Wilms and Zeilstra 2013[ 34 ]). In these methods, operators are able to rate work demands themselves on a numerical or graphical scale (Young et al, 2015[ 39 ]).…”

Section: Methodsmentioning

confidence: 99%

Human-based dynamics of mental workload in complicated systems

Jafari

Zaeri

Jafari

et al. 2019

EXCLI Journal; 18:Doc501; ISSN 1611-2156

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Section: Methodsmentioning

confidence: 99%

Human-based dynamics of mental workload in complicated systems

Jafari

Zaeri

Jafari

et al. 2019

EXCLI Journal; 18:Doc501; ISSN 1611-2156

View full text Add to dashboard Cite

“…We calibrate their scoring in order to combine it with the scoring of other signalers. Wilms & Zeilstra [14] have calibrated only with a quiet period rather than a rush hour situation. We propose to extend the calibration to two situations: the quiet period and rush hour.…”

Section: External Cognitive Task Load (Xtl)mentioning

confidence: 99%

A Method to Reveal Workload Weak-Resilience-Signals at a Rail Control Post

Siegel

Schraagen

2014

Engineering Psychology and Cognitive Ergonomics

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Abstract. Reorganization of a rail control post may affect its ability to cope with unexpected disruptions. The term 'resilience', the ability to manage spare adaptive capacity when unexpected events occur, encapsulates this situation. This paper focuses on the workload adaptive capacity through a method for revealing workload weak-resilience-signals (WRS). Three different workload measurements are adapted to identify structural changes in workload. The first, executed cognitive task load, targets system activities. The second, integrated workload scale, is a subjective measure. The last, heart rate variability, identifies physiological arousal because of workload. An experiment is designed to identify the workload change and distribution across group members during disruptions. A newly defined Stretch, the reaction of the system to an external cluster-event, is used to reveal a workload WRS. The method is suitable for real-time usage and provides the means for the rail signaler to influence the system through his subjective workload perception.

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