Vol 8, No 2 (2017) > Industrial Engineering >

Evaluating Smartwatch-based Sleep Quality Indicators of Fitness to Work

Yassierli Yassierli, Rizqi Permana Sari, Khoirul Muslim



The study sought to
evaluate smartwatch-based sleep quality indicators of fitness to work. Eighteen
males (aged 20–26 years) were assigned to three randomized daytime sleep
conditions (bad/moderate/good), which varied in terms of lighting, noise, and
temperature, for a six-hour period. After this daytime sleep, participants
completed simulated computer tasks during a 12-hour nighttime waking period.
Prior to those tasks, participants’ fitness to work was determined by
subjective measures that included the Sleep Quality Index-Karolinska Sleep
Diary (SQI-KSD)), the Psychomotor Vigilance Task (PVT)), and the Karolinska
Sleepiness Scale (KSS) to measure drowsiness. Total sleep time (TST), light
sleep quantity (LSQ), deep sleep quantity (DSQ), and REM sleep quantity (REMSQ)
were recorded using a smartwatch. The results confirmed that TST, LSQ, and
SQI-KSD can be used as measures of sleep quality and fitness to work (p <

Keywords: Fitness to Work; Sleep Quality; Sleepiness; Smartwatch; Vigilance

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