Japanese / English

Detail of Publication

Text Language English
Authors Haruya Fujii,Andrew Vargo, Motoi Iwata, Koichi Kise
Title Evaluating Acute Stress Levels Using Physiological Data
Journal Augmented Humans 2025 (AHs25)
Location Abu Dhabi, United Arab Emirates
Reviewed or not Reviewed
Presentation type Poster
Month & Year March 2025
Abstract In this work, we aim to quantify acute stress induced by cognitive load using real-time physiological data collected by a wearable health-tracking device. In particular, we look at stress induced by increased cognitive load during a series of N-back tasks. Twelve participants completed an N-back task while wearing the Embrace PLUS device, which recorded electrodermal activity (EDA), heart rate variability (HRV), respiratory rate, etc. A linear mixed-effects model revealed significant stress responses, with HR fluctuations as strong predictors. The findings support real-time stress monitoring and adaptive intervention strategies with the use of a werable physiological sensing device.
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