Influence of computer work under time pressure on cardiac activity

Effects of three‐dimensional virtual reality and traditional training methods on mental workload and training performance

“…With regard to task complexity, the values of GSR and AHR are higher in the complex tasks than those in simple tasks. This result is similar to previous studies that obtained higher values of AHR and GSR, which indicated heavier MWL (Knaepen et al., ; P. Shi, Hu, & Yu, ; Y. Shi, Ruiz, Taib, Choi, & Chen, ; Veltman & Gaillard, ; Wilson, ) and is consistent with the study of Gilbert and his colleagues (), which indicated that a complex task would lead to a higher MWL. In the values of HRV‐associated indices (LF%, HF%, LF/HF ratio), LF% is significantly affected by the training method and task complexity, and LF/HF ratio is also significantly affected by the training method rather than by task complexity.…”

“…With regard to task complexity, the values of GSR and AHR are higher in the complex tasks than those in simple tasks. This result is similar to previous studies that obtained higher values of AHR and GSR, which indicated heavier MWL (Knaepen et al, 2015;P. Shi, Hu, & Yu, 2015;Y.…”

Effects of mental workload on physiological and subjective responses during traffic density monitoring: A field study

“…They indicated that HR significantly increased and HRV significantly decreased with increasing MWL during walking. Shi et al (2015) compared the effects of time pressure workload during computer tasks on HR and time domain and frequency domain indices of HRV among five computer tasks and two rest periods. Faster HR and decreased standard deviation of ReR interval were noted in response to computer tasks performed under time pressure.…”

Linear and non-linear heart rate metrics for the assessment of anaesthetists’ workload during general anaesthesia

“…[23][24][25][26] Thus, the investigation of parameters derived from non-linear methods is largely an exploratory analysis. In this study, the standard deviations of the Poincaré plot (SD1, SD2), 27 the approximate entropy (ApEn), 25 28 the sample entropy (SampEn), 25 28 the Shannon entropy of diagonal line lengths' probability distribution (ShanEn), correlation dimension (D2) 25 28 and the permutation entropy (PeEn) are presented. 29 30 As a non-parametric measurand based on order rankings instead of metric values, PeEn has been shown to provide a reliable analysis even of short periods 31 32 and may therefore be a valuable parameter to reflect short-term changes in workload.…”