The EEG indicators of mental workload in pilots during the dynamic flight simulation on the human centrifuge

Evstigneev, A.L.; Filipenkov, S. N.; Klochkov, Anatoly; Vasilevsky, N.⁎.

doi:10.1016/j.ijpsycho.2008.05.292

Cited by 4 publications

(4 citation statements)

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“…The use of these tools requires less interference to pilots' normal operations. In addition, physiological signals are more sensitive to transient fluctuations in mental workload (16)(17)(18)(19) . One set of the most commonly used, also reliable, physiological measures for mental workload is the measures of eye movement, due to their noninvasive nature (20)(21)(22)(23) .…”

Section: Introductionmentioning

confidence: 99%

Modeling pilot mental workload using information theory

Zhang

Xue

et al. 2019

Aeronaut. j.

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Predicting mental workload of pilots can provide cockpit designers with useful information to reduce the possibility of pilot error and cost of training, improve the safety and performance of systems, and increase operator satisfaction. We present a theoretical model of mental workload, using information theory, based on review investigations of how effectively task complexity, visual performance, and pilot experience predict mental workload. The validity of the model was confirmed based on data collected from pilot taxiing experiments. Experiments were performed on taxiing tasks in four different scenarios. Results showed that predicted values from the proposed mental workload model were highly correlated to actual mental workload ratings from the experiments. The findings indicate that the proposed mental workload model appears to be effective in the prediction of pilots’ mental workload over time.

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Section: Introductionmentioning

confidence: 99%

Modeling pilot mental workload using information theory

Zhang

Xue

et al. 2019

Aeronaut. j.

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“…This technology adopted the Likert scale for psychological measurement ( Liou and Wang, 1994 ; Wilson, 1998 ; Wiebe et al, 2010 ; Felton et al, 2012 ; Klein et al, 2012 ). The main tools of physical measurement technology included electroencephalogram (EEG), event-related potentials (ERPs), and eye movement ( May et al, 1990 ; Kramer et al, 1995 ; Noel et al, 2005 ; Ryu and Myung, 2005 ; Evstigneev et al, 2008 ; Miller et al, 2011 ; Tokuda et al, 2011 ; Di Stasi et al, 2013 ; Borghini et al, 2014 ). The task measurement technology included real-situation tasks and visual-situation tasks ( Törnros and Bolling, 2006 ; de Waard et al, 2008 ; Cantin et al, 2009 ; Jou et al, 2009 ; Hoogendoorn et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent?

et al. 2017

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A market research company (Nielsen) reported that consumers in the Asia-Pacific region have become the most active group in online shopping. Focusing on augmented reality (AR), which is one of three major techniques used to change the method of shopping in the future, this study used a mixed design to discuss the influences of the method of online shopping, user gender, cognitive style, product value, and sensory channel on mental workload in virtual reality (VR) and AR situations. The results showed that males’ mental workloads were significantly higher than females’. For males, high-value products’ mental workload was significantly higher than that of low-value products. In the VR situation, the visual mental workload of field-independent and field-dependent consumers showed a significant difference, but the difference was reduced under audio–visual conditions. In the AR situation, the visual mental workload of field-independent and field-dependent consumers showed a significant difference, but the difference increased under audio–visual conditions. This study provided a psychological study of online shopping with AR and VR technology with applications in the future. Based on the perspective of embodied cognition, AR online shopping may be potential focus of research and market application. For the future design of online shopping platforms and the updating of user experience, this study provides a reference.

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“…11,12 Ka¨thner et al 7 conducted targeted experiments under middle and high mental workload to reveal effects of mental workload and fatigue. Experimental results proved that the combination of signals from the time and frequency domains of EEG can be used a valuable method for online testing of workload and fatigue of workers.…”

Section: Introductionmentioning

confidence: 99%

“…A series of laboratory experiments carried out by the US Air Force also showed that the EEG activity could be one of sensitive indicators reflecting the mental workload level in pilots and could be used for grading evaluation of mental workload in pilots. 11,12 Ka¨thner et al 7 conducted targeted experiments under middle and high mental workload to reveal effects of mental workload and fatigue. Experimental results proved that the combination of signals from the time and frequency domains of EEG can be used a valuable method for online testing of workload and fatigue of workers.…”

Section: Introductionmentioning

confidence: 99%

Research on the application of the improved genetic algorithm in the electroencephalogram-based mental workload evaluation for miners

Li³

et al. 2016

Journal of Algorithms & Computational Technology

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Electroencephalogram is the electrical phenomena in the cerebral cortex or the scalp surface due to the electrophysiological activity of brain cells. Electroencephalogram has great theoretical and practical significance in measuring mental workload of people. More precise electroencephalographic is a precondition to study mental workload of miners. In this article, based on the actual situation of the electroencephalographic measurement of miners, the particle swarm optimization is introduced to improve the standard genetic algorithm, and put forward a combined method integrating the genetic algorithm with particle swarm optimization for achieving electroencephalogram-based measures of miners' mental workload. Moreover, the MATLAB simulation platform is used for simulation testing. Testing results prove the effectiveness of the combined method.

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The EEG indicators of mental workload in pilots during the dynamic flight simulation on the human centrifuge

Cited by 4 publications

References 0 publications

Modeling pilot mental workload using information theory

Modeling pilot mental workload using information theory

Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent?

Research on the application of the improved genetic algorithm in the electroencephalogram-based mental workload evaluation for miners

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