Fundamental examination of mental workload in the rail industry

Pickup, Laura; Wilson, John R.; Sharpies, Sarah; Norris, Beverley; Clarke, Theresa; Young, Mark S.

doi:10.1080/14639220500078021

Cited by 51 publications

(37 citation statements)

References 19 publications

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“…Other tools include a self-report scale (the IWS -Integrated Workload Scale), an activity analysis tool, and an analytical decision probe (see Pickup, 2006;Pickup et al, 2005a) …”

Section: Introductionmentioning

confidence: 99%

The Operational Demand Evaluation Checklist (ODEC) of workload for railway signalling

2010

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“…Other tools include a self-report scale (the IWS -Integrated Workload Scale), an activity analysis tool, and an analytical decision probe (see Pickup, 2006;Pickup et al, 2005a) …”

Section: Introductionmentioning

confidence: 99%

The Operational Demand Evaluation Checklist (ODEC) of workload for railway signalling

2010

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“…Pickup et al [6] provide a mental workload model introducing demand. In their study, demand was defined by signalers as "the need to maintain awareness of the situation, to process relevant information to make decisions to act".…”

Section: B Workload and Demandmentioning

confidence: 99%

D-MOD Dynamic Modelling of Operator Demand: A new simulator module for the evaluation of signaler's demand

Delamare

Lumby

Treble

et al. 2016

2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT)

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Abstract-Estimating signaler demand is critical for ensuring signaling workstations are both feasible to run, and acceptable to staff. While human factors tools exist, they are typically manual, time consuming and rely of the skill of an expert. One solution, explored in this paper, is to use signaling simulators to assist in the estimation of demand.Full fidelity signaling simulators are already widely used in the UK. Simulators give the ability to ensure a consistent standard of competency ranging from normal routine tasks to abnormal situations (e.g. faults and failures) monitored by an experienced trainer/assessor. Whilst the original aim of full fidelity simulators was to support training and assessment of signalers, the requirement for an accurate timetable and infrastructure model, and of a realistic workstation Human Machine Interface (HMI), opens up other applications.The aim of the Dynamic Modelling of Operator Demand (D-MOD) project is to use the Hitachi Information Control System's simulation environment (TREsim signaling simulator) to deliver a workstation evaluation tool. The paper will present how the existing elements of simulator have been expanded and utilized for demand modelling, covering the architecture of D-MOD, the process of selecting and developing demand metrics, and the design of an HMI to deliver a working proof of concept.

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“…The NASA-TLX has been demonstrated as a valid measure of subjective workload in field studies 32,33) and is the most commonly used measure for assessing workload 34) . Further, the NASA-TLX has been used across a wide range of occupations, including the rail industry 35) , aviation 32) and nursing 26) .…”

Section: Nasa Task Load Index (Nasa-tlx)mentioning

confidence: 99%

Mood Change and Perception of Workload in Australian Midwives

et al. 2010

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Investigations of mood and workload in health care settings have focussed primarily on nurses and junior doctors. Given the critical shortfall in the Australian midwifery workforce, and the specialised nature of midwifery as an occupation, it is important to understand how mood and workload are experienced by midwives. Twenty midwives (18F, 2M) in an Australian metropolitan hospital completed logbooks assessing daily fluctuations in subjective mood and workload. Participants also provided information about history of psychopathology and sleep quality. Results revealed that midwives were relatively stable in terms of mood but did experience increased fear and decreased happiness when at work. Further, workload factors significantly predicted mood at work. Specifically, when participants felt that their work was more demanding and frustrating and required more effort, or when they felt that they could not accomplish all that was expected, mood was negatively influenced. This supports the connection between workload and negative mood change in healthcare. Given the potential for mood to influence a multitude of functions relevant to safety, performance and psychosocial wellbeing it is important to understand the factors which influence mood, particularly in light of the current shortfall in the Australian healthcare workforce.

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Fundamental examination of mental workload in the rail industry

Cited by 51 publications

References 19 publications

The Operational Demand Evaluation Checklist (ODEC) of workload for railway signalling

The Operational Demand Evaluation Checklist (ODEC) of workload for railway signalling

D-MOD Dynamic Modelling of Operator Demand: A new simulator module for the evaluation of signaler's demand

Mood Change and Perception of Workload in Australian Midwives

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