e-journal

Effective Indices For Monitoring Mental Workload While Performing Multiple Tasks

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Summary .— This study identifi ed several physiological indices that can accurately monitor mental workload while participants performed multiple tasks with the strategy of maintaining stable performance and maximizing accuracy. Thirty male participants completed three 10-min. simulated multitasks: MATB (Multi- Attribute Task Battery) with three workload levels. Twenty-fi ve commonly used mental workload measures were collected, including heart rate, 12 HRV (heart rate variability), 10 EEG (electroencephalography) indices (α, β, θ, α/θ, θ/β from O1-O2 and F4-C4), and two subjective measures. Analyses of index sensitivity showed that two EEG indices, θ and α/θ (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 diff erentiate high workload. EEG α/θ (F4-C4) and LF/HF were most eff ective for monitoring high mental workload. LF/HF showed the highest correlations with other physiological indices. EEG α/θ (F4-C4) showed strong correlations with subjective measures across diff erent mental workload levels. Operation strategy would aff ect the sensitivity of EEG α (F4-C4) and HF

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Informasi Detail

Judul Seri

Learning & Memory

No. Panggil

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Penerbit

: Wiley Periodicals., 2015

Deskripsi Fisik

Learning & Memory 2015, 121, 1, 94-117

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KESEHATAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

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