sandra hart 1980s nasa tlx at nasa ames research center

Multiple measures of subjective mental workload were taken during experimental conditions. Three experimental conditions with low, high, and low task demands were constructed by manipulating the frequency of lane changing. Participants were instructed to prioritize driving or to prioritize both tasks equally. A simulated driving task was combined with an auditory memory task. However, little is known about the temporal development of hysteresis in mental workload. Authors of previous studies predominantly examined hysteretic effects in terms of performance. Hysteresis has been defined as the ongoing influence of demand levels prior to a demand transition. We examine how transitions in task demand are manifested in mental workload and performance in a dual-task setting. Jansen, Reinier J Sawyer, Ben D van Egmond, RenÃ© de Ridder, Huib Hancock, Peter A Hysteresis in Mental Workload and Task Performance: The Influence of Demand Transitions and Task Prioritization. Operation strategy would affect the sensitivity of EEG Î± (F4-C4) and HF. EEG Î±/Î¸ (F4-C4) showed strong correlations with subjective measures across different mental workload levels. LF/HF showed the highest correlations with other physiological indices. EEG Î±/Î¸ (F4-C4) and LF/HF were most effective for monitoring high mental workload. Analyses of index sensitivity showed that two EEG indices, Î¸ and Î±/Î¸ (F4-C4), one time-domain HRV-SDNN (standard deviation of inter-beat intervals), and four frequency-domain HRV: VLF (very low frequency), LF (low frequency), %HF (percentage of high frequency), and LF/HF were sensitive to differentiate high workload. Twenty-five commonly used mental workload measures were collected, including heart rate, 12 HRV (heart rate variability), 10 EEG (electroencephalography) indices (Î±, Î², Î¸, Î±/Î¸, Î¸/Î² from O1-O2 and F4-C4), and two subjective measures. simulated multitasks: MATB (Multi-Attribute Task Battery) with three workload levels. Thirty male participants completed three 10-min. This study identified several physiological indices that can accurately monitor mental workload while participants performed multiple tasks with the strategy of maintaining stable performance and maximizing accuracy. Hsu, Bin-Wei Wang, Mao-Jiun J Chen, Chi-Yuan Chen, Fang EFFECTIVE INDICES FOR MONITORING MENTAL WORKLOAD WHILE PERFORMING MULTIPLE TASKS.

Sandra hart 1980s nasa tlx at nasa ames research center