Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study

Lehrer, Paul M.; Karavidas, Maria Katsamanis; Lu, Shou‐En; Vaschillo, Evgeny; Vaschillo, Bronya; Cheng, Andrew

doi:10.1016/j.ijpsycho.2010.02.006

Cited by 56 publications

(49 citation statements)

References 72 publications

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“…The present study also explores the differentiation of the forementioned six time-domain indexes of HRV among different flight taskrelated mental workloads, the results of which showed that only the time-domain index SDNN was significantly sensitive to the change of flight task-related mental workload, as specifically demonstrated by the progressive decrease of the SDNN value with the increase of mental workload. Such a conclusion is consistent with the results obtained by both DiDomenico and Nussbaum et al in studying the influence of various flight operation tasks on mental workload and performance, 12 and also consistent with the results obtained by Lehrel et al in their studies on Boeing 737-800 simulator, 11 which suggests that the time-domain index SDNN can effectively evaluate the mental workload. However, compared with the two studies, the present study focuses on mental workload, and comprehensively compares 6 time-domain indexes of HRV to confirm the effectiveness of SDNN in evaluating the mental workload.…”

Section: Differentiation Of the Three Types Of Evaluation Indexes Amosupporting

confidence: 91%

A model for discrimination and prediction of mental workload of aircraft cockpit display interface

Zongmin

Zhuang

Wanyan

et al. 2014

Chinese Journal of Aeronautics

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With respect to the ergonomic evaluation and optimization in the mental task design of the aircraft cockpit display interface, the experimental measurement and theoretical modeling of mental workload were carried out under flight simulation task conditions using the performance evaluation, subjective evaluation and physiological measurement methods. The experimental results show that with an increased mental workload, the detection accuracy of flight operation significantly reduced and the reaction time was significantly prolonged; the standard deviation of R-R intervals (SDNN) significantly decreased, while the mean heart rate exhibited little change; the score of NASA_TLX scale significantly increased. On this basis, the indexes sensitive to mental workload were screened, and an integrated model for the discrimination and prediction of mental workload of aircraft cockpit display interface was established based on the Bayesian Fisher discrimination and classification method. The original validation and cross-validation methods were employed to test the accuracy of the results of discrimination and prediction of the integrated model, and the average prediction accuracies determined by these two methods are both higher than 85%. Meanwhile, the integrated model shows a higher accuracy in discrimination and prediction of mental workload compared with single indexes. The model proposed in this paper exhibits a satisfactory coincidence with the measured data and could accurately reflect the variation characteristics of the mental workload of aircraft cockpit display interface, thus providing a basis for the ergonomic evaluation and optimization design of the aircraft cockpit display interface in the future. ª 2014 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA.

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Section: Differentiation Of the Three Types Of Evaluation Indexes Amosupporting

confidence: 91%

A model for discrimination and prediction of mental workload of aircraft cockpit display interface

Zongmin

Zhuang

Wanyan

et al. 2014

Chinese Journal of Aeronautics

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“…To date, only a few studies [7][8][9][10] have attempted to tackle this problem using ECG recordings. For one, Henning et al [8] show that reduced mental load is associated with slower heart rate (HR) [7].…”

Section: Iintroductionmentioning

confidence: 99%

“…For one, Henning et al [8] show that reduced mental load is associated with slower heart rate (HR) [7]. For another, Lehrer et al [9] investigate performance of air-pilots, showing that it is negatively correlated with the low-frequency/high-frequency ratio (LF/HF) and with mean HR. Finally, Fairclough et al [10] investigate trends between physiological signals and performance by using subtasks with increasing demands, and showing that the mean of inter-times among consecutive normal beats (MeanNN) and the vagal tone are lower during high demanding mental tasks.…”

Section: Iintroductionmentioning

confidence: 99%

Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

et al. 2017

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Abstract-We designed and conducted an experiment using a repetitive task to investigate associations between mental workload, performance, and Heart Rate Variability (HRV) features across repetitions. According to the literature, we define mental workload as the interaction between a person and a task that causes task demands to exceed the person's capacity to deliver. Mental workload was triggered by the use of a highlypaced video game repeated over time. Before engaging with the task, each subject was assessed in controlled condition (i.e., relaxing period) for a short time. Short term HRV features variations between the baseline (i.e., control situation) and each repetitive gaming session (i.e., mental task) were explored. The results show that HRV dynamics diminish with repetitions, while performance increases. Importantly, this suggests that HRV features can be well correlated with performance. Overall, this study advances the use of HRV analysis in the behavioral sciences at large, allowing the design of flexible neurophysiological lab-based experiments. Thus, it also opens the way to future autonomic behavioral neuroscience research.

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“…Each subscale is individually rated on an analog scale, and through a series of weighted comparisons, each subscale is weighed relative to the other subscales, and an overall workload score is calculated. The NASA-TLX has been used to assess workload in a variety of tasks including those in very cognitively demanding jobs such as aircraft pilots (Karavidas et al, 2010;Lehrer et al, 2010;Sohn and Jo, 2003) and air traffic controllers (Brookings et al, 1996). Within the realm of psychophysiology, it has been used as a benchmark for assessing psychophysiological measures of workload (Fournier et al, 1999;Miyake et al, 2009;Prinzel et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Respiratory sinus arrhythmia as a measure of cognitive workload

Muth

Moss

Rosopa

et al. 2012

International Journal of Psychophysiology

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Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study

Cited by 56 publications

References 72 publications

A model for discrimination and prediction of mental workload of aircraft cockpit display interface

A model for discrimination and prediction of mental workload of aircraft cockpit display interface

Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

Respiratory sinus arrhythmia as a measure of cognitive workload

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