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Related Experiment Video

Updated: Sep 8, 2025

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

The Relationship Between Helmet Weight, Cognitive Performance, and Mental Workload.

Mojgan Zoaktafi¹, Alireza Choobineh^1,2, Matin Rostami¹

¹Department of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Basic and Clinical Neuroscience

|June 13, 2022

Summary

This summary is machine-generated.

Heavier helmets significantly impair cognitive performance, while mental workload remains unaffected. Helmet weight is a critical design factor for manufacturers to consider.

Keywords:

Cognition Ergonomics Helmet Mental fatigue Workload

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Area of Science:

Human Factors Engineering
Cognitive Neuroscience
Occupational Health

Background:

Helmet weight is a crucial design parameter that may influence user performance and comfort.
Understanding the impact of helmet weight on cognitive functions is essential for safety and efficiency.

Purpose of the Study:

To investigate the effects of varying helmet weights on cognitive performance and mental workload.
To assess the relationship between helmet mass and cognitive task execution.

Main Methods:

Twenty participants completed cognitive tests (N-back, CPT) and workload assessments (NASA-TLX) under three conditions: no helmet, 800g helmet, and 1500g helmet.
Perceived mental workload, thermal comfort, and fatigue were measured post-intervention.

Main Results:

Helmet weight significantly impacted cognitive performance (P<0.001).
Heavier helmets led to a decline in brain performance.
Perceived mental workload was not significantly influenced by helmet weight.

Conclusions:

Helmet weight is a significant factor affecting cognitive performance.
Designers and manufacturers should prioritize helmet weight in development and standardization processes.
Future research could explore optimal weight ranges for different applications.