Evaluating In-situ Cognitive Load Using Physiological Data
Language
English
Type
Proceedings of International Conferences
Authors
Haruya Fujii, Andrew Vargo, Motoi Iwata, Koichi Kise
Title
Evaluating In-situ Cognitive Load Using Physiological Data
Journal
Augmented Humans 2025 (AHs25)
Location
Abu Dhabi, United Arab Emirates
Reviewed
Reviewed
Presentation type
Poster
Date
March 2025
Research fields
Wellbeing, Sensing
Key
Fujii2025 (id=2034)
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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