Correction to: Multi-modal physiological sensing approach for distinguishing high workload events in remotely piloted aircraft simulation
نویسندگان
چکیده
Remotely piloted aircraft (RPA) operations are often characterized as highly taxing and dynamic. Physiological sensing tech- nology can enhance personnel monitoring training for these high-stress environments; however, work assessing the effec- tiveness of physiological sensors during RPA is limited. The proposed tests two hypotheses: (1) distinguish operator workload between scenario difficulty levels, (2) quantify impact events on workload. Twelve pilots completed simulations at all three levels while collected electroencephalogram (EEG) heart rate activity. Hypotheses were tested using mixed-effects models. Observed variability metrics did not differ among except LF/HF ratio. A 47% 57% reduction in alpha band power was observed easy hard frontal parietal channels, respectively. Abort Reach objective resulted 0.2–0.3 dB lower beta activity 66 ms increased rate, losing sight (e.g., fog) had 0.72 high Different modalities (EEG ECG) varying effectiveness distinguishing events, suggesting a hybrid approach may provide more insight than just one modality. In conclusion, response to high-fidelity simulations.
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ژورنال
عنوان ژورنال: Human-Intelligent Systems Integration
سال: 2021
ISSN: ['2524-4876', '2524-4884']
DOI: https://doi.org/10.1007/s42454-021-00033-3