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Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

Evaluating occupational stress in manufacturing workers using a dot probe task game board: A pilot study.

Poh Foong Lee¹, Kai Wen Chong¹, Mei-Yi Wong¹

¹Lee Kong Chian Faculty of Engineering & Science, University Tunku Abdul Rahman, Kajang, Malaysia.

Work (Reading, Mass.)

|November 24, 2025

Summary

This study developed a dot probe task to measure occupational stress in manufacturing workers. The task effectively identified stress-related cognitive impacts, aiding well-being interventions.

Keywords:

assessment brainwaves game perceived stress reaction time regression

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Area of Science:

Occupational Health
Cognitive Psychology
Neuroscience

Background:

Occupational stress in manufacturing detrimentally affects employee health and output.
Developing effective stress assessment tools is crucial for this high-risk sector.
Worker well-being can be enhanced through targeted interventions.

Purpose of the Study:

To develop and validate a novel dot probe task game board for occupational stress measurement.
To integrate the Perceived Stress Scale (PSS-10), Technology Acceptance Model (TAM), and EEG analysis.
To assess the task's utility in identifying stress-related cognitive impairments.

Main Methods:

A dot probe task was employed to measure reaction times to stress-related stimuli.
Electroencephalography (EEG) recordings focused on the AF8 electrode before and after the task.
RidgeCV regression analysis identified predictive factors for stress, using PSS-10 scores.

Main Results:

The dot probe task demonstrated sensitivity to stress-induced cognitive impairment via reaction time differences.
The RidgeCV model achieved high predictive accuracy (R² = 0.945), with PSS-10 as a key predictor.
EEG data revealed neurobiological changes associated with cognitive function under stress.

Conclusions:

The dot probe task shows promise for occupational health assessments in manufacturing.
This tool can contribute to improved worker well-being and inform targeted stress interventions.
The findings support integrating novel cognitive tasks into high-risk industry health evaluations.