Investigating Workload Measures in the Nuclear Domain

Mercado, Joseph; Reinerman-Jones, Lauren; Barber, Daniel; Leis, R D

doi:10.1177/1541931214581043

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…The lack of any significant results for the NASA-TLX yielded similar results to both the pilot experiment (where only NASA-TLX physical demand generated significant results; Leis et al 2014) and a parallel experiment using novice participants (where only NASA-TLX frustration demand generated significant results; Mercado, 2014). This suggests that although novice participants found detection to be more frustrating than the other task types (it is most similar to a vigilance task and lasted the longest), and the experienced participants initially perceived a physical demand for the detection task (requiring clicks to "acknowledge" gauge level changes), eventually, the experienced participants habituate to the demand and cease to perceive any workload difference between checking, detection, and response implantation.…”

Section: Discussionsupporting

confidence: 66%

“…NPP operation can be broken down into five different types of tasks ˗ checking, detection, response implementation, situational assessment, and response planning (O'Hara, Higgins, & Brown., 2008;Reinerman-Jones, Guznov, Tyson, & D'Agostino, 2013; as described in Leis, Reinerman-Jones, Mercado, Barber, & Sollins, 2014). In the present experiment, the skill-and rulebased task types rather than knowledge-based task types are highlighted, which include checking, detection, and response implementation (Mercado, 2014). Checking requires the operator ensure that the state of the control is in a specified position.…”

Section: Introductionmentioning

confidence: 96%

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Workload Change Over Time for Nuclear Power Plant Operation Tasks

Leis

Reinerman-Jones

Mercado

et al. 2015

Proceedings of the Human Factors and Ergonomics Society Annual

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Nuclear Power Plant (NPP) operation requires multiple task types to complete necessary day-to-day activities and operating procedures. The accurate completion of these tasks is necessary for safety-critical domains, as errors and omissions can potentially result in severe consequences. As a result, it is important to determine the cause of human error within various task types. One factor that contributes to human performance is workload. The present experiment is a follow-up, further investigating levels of workload, within a NPP simulated environment, with experienced participants. EEG, ECG, and the NASA-TLX have been shown to be sensitive to changes in workload across domains and are thus utilized in the present experiment to record workload differences. Specifically, the present experiment investigated these participants across 27 sessions for three different NPP task types –checking, detection, and response implementation.

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Section: Discussionsupporting

confidence: 66%

Section: Introductionmentioning

confidence: 96%

Workload Change Over Time for Nuclear Power Plant Operation Tasks

Leis

Reinerman-Jones

Mercado

et al. 2015

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

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“…Free variables used are derived from the value of the effort (EF) dimension of the NASA-TLX questionnaire. It mentions that the cognitive variance affecting work performance is a mental effort (Mercado et al, 2014). From the measurement, the results of raw NASA-TLX is between 68-74, Cardiovascular Load (CVL) is between 33-50%, and reaction time measurement is between 372-429.…”

Section: Resultsmentioning

confidence: 99%

“…Before the experiment is conducted, the subjects are required to meet the following prerequisites. The subjects are medically not having any vision or hearing impairment, and they are not taking any drugs/treatments in the last 24 hours (Mercado, Reinerman-Jones, Barber, & Leis, 2014). All these requirements are essential to prevent any intervention in neuron signal capture during psychophysiology measurements using the EEG device.…”

Section: Methodsmentioning

confidence: 99%

Work Performance Measurement of Data Entry Employees in E-Commerce Industry Based on Mental Workload Value

Soenandi

2019

ComTech

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This reseach aimed to measure the mental workload of data entry processing tasks in the e-commerce industry based on mental workload value. It was to determine the factors influencing mental workload mainly induced by the data entry process. The experiments without work instruction and with two types of work instruction were conducted to diagnose the mental workload. The measurement of the initial mental workload condition of data entry employees was conducted in the laboratory. Then, the Electroencephalogram (EEG) measurement using sensors from Emotiv was performed every 30 minutes, and the data of EEG measurements (focus, engagement, and stress) were collected using the laptop. Meanwhile, pulse measurement (heart rate) was measured before and after the work. Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) and reaction time measurement were conducted after the work. Through these experiments, the researchers identify that mental effort and fatigue are the significant determinants of mental workload value in the data entry process of the e-commerce industry. In respect of the results of work performance analysis, it is recommended that the placement of work instruction should be near the employee. Then, the task demand (minimum completion target) should be adjusted according to each employee’s capacity.

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“…In addition, perceived workload ratings do not positively correlate with objective measures of workload (Mercado et al 2014). Haptic cueing often results in improved response time but at a cost to accuracy.…”

Section: Introductionmentioning

confidence: 97%