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This tool has been used to measure mental workload in over 1,200 studies since its inception (Hart [2006]).
To measure the cognitive performance of the subjects, the National Aeronautics and Space Administration Raw Task Load Index (NASA-rTLX) was utilized to measure mental workload.
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The creation of methods for measuring mental workload generates an important scientific activity around the world.
The aim of this study was to pilot the use of a new method of measuring mental workload using a previously published study design.
Cognitive overload has been recognized as a significant cause of error in industries such as aviation, and measuring mental workload has become a key method of improving safety.
This paper presents a theoretical framework, which provides a systematic approach for measuring mental workload using a combination of analytical and empirical techniques: human performance modeling with a computer simulation and mathematical modeling, along with physiological, subjective and performance measures.
Heart rate variability (HRV), as the physiological response related to activation of autonomic nervous system and being commonly used when measuring mental workload and mental effort assessment [ 38– 40], which is directly associated with fatigue [ 41– 44], was used to evaluate the physiological effect of prolonged performance of MRT.
Physiologic measures use indirect measures of mental workload by studying ocular and cardiac responses.
Electroencephalographic (EEG) has been believed to be a potential psychophysiological measure of mental workload.
Performance on a peripheral detection task (PDT) – a measure of mental workload – presented while driving, was impaired by mobile phone conversation in all environments.
An accurate measure of mental workload in human operators is a critical element of monitoring and adaptive aiding systems that are designed to improve the efficiency and safety of human machine systems during critical tasks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com