2018
DOI: 10.1016/j.ijpsycho.2018.04.002
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Cardiovascular correlates of emotional state, cognitive workload and time-on-task effect during a realistic flight simulation

Abstract: In aviation, emotion and cognitive workload can considerably increase the probability of human error. An accurate online physiological monitoring of pilot's mental state could prevent accidents. The heart rate (HR) and heart rate variability (HRV) of 21 private pilots were analysed during two realistic flight simulator scenarios. Emotion was manipulated by a social stressor and cognitive workload with the difficulty of a secondary task. Our results confirmed the sensitivity of the HR to cognitive demand and tr… Show more

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Cited by 61 publications
(38 citation statements)
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“…A positive correlation was observed between CTAS and STAI-t, r = .46, p < .001. A negative correlation was observed between STAI-t and ACS, r = -.52, p < .001, as commonly reported (e.g., [9,68,69]). A negative correlation was observed between CTAS and ACS, r = -.45, p < .001.…”
Section: Resultssupporting
confidence: 82%
“…A positive correlation was observed between CTAS and STAI-t, r = .46, p < .001. A negative correlation was observed between STAI-t and ACS, r = -.52, p < .001, as commonly reported (e.g., [9,68,69]). A negative correlation was observed between CTAS and ACS, r = -.45, p < .001.…”
Section: Resultssupporting
confidence: 82%
“…Complementary to HR, a decrease of HRV correlates with higher CW, as shown in other research works dealing with flying simulation where the task difficulty was manipulated to vary CW demand (Durantin et al, 2014). In addition, the decrease of HRV parameters could be linked to the emotional regulation (Appelhans and Luecken, 2006) and subsequently in relation to the stress generated by the task difficulty as other research works suggest (Mandrick et al, 2016; Hidalgo-Muñoz et al, 2018). It is important to remark the importance of the counterbalancing for the different tasks, as HRV parameters are sensitive to the physical activity previous to the task realization (Luft et al, 2009).…”
Section: Discussionmentioning
confidence: 85%
“…By applying these values, the recommended minimum sample size for these effects and interactions was less than 10 to achieve a power level of 90% and alpha <0.05. In addition, to attain the sufficient power of the effect of Time-on-Task (ToT) on performance measures and HRV, we considered recent ToT studies addressing mental workload (e.g., Hopstaken et al, 2015a; Hidalgo-Muñoz et al, 2018; Reteig et al, 2019) as well as our earlier studies conducted with protocols similar to the current study (Csathó et al, 2012, 2013, 2015). Calculating with the effect sizes reported in these papers, about 19 participants were recommended as a minimum sample size to detect ToT-related effects (power = 90% and alpha <0.05).…”
Section: Methodsmentioning
confidence: 99%