Ontology highlight
ABSTRACT: Introduction
The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate assessment of mental workload could help in preventing operator error and allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures of human body and brain activity collectively can provide sensitive and reliable assessment of human mental workload in complex training and work environments.Methods
In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitor
SUBMITTER: Mark JA
PROVIDER: S-EPMC10963413 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature