Cognitive Workload Analysis of Fighter Aircraft Pilots in Flight Simulator Environment
| Autor: | S. Poonguzhali, Mistu Mahajabin, K Ramachandran, K. Mohanavelu, D. Ravi, Pushpendra Kumar Singh, Upendra Kumar Singh, Srinivasan Jayaraman |
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| Rok vydání: | 2020 |
| Předmět: |
Schedule
NASA-TLX Computer science Mechanical Engineering General Chemical Engineering Visibility (geometry) Biomedical Engineering General Physics and Astronomy Cognition Workload Phase (combat) Flight simulator Computer Science Applications Task (project management) Electrical and Electronic Engineering Simulation |
| Zdroj: | Defence Science Journal. 70:131-139 |
| ISSN: | 0976-464X 0011-748X |
| DOI: | 10.14429/dsj.70.14539 |
| Popis: | Maintaining and balancing an optimal level of workload is essential for completing the task productively. Fighter aircraft is one such example, where the pilot is loaded heavily both physically (due to G manoeuvering) and cognitively (handling multiple sensors, perceiving, processing and multi-tasking including communications and handling weapons) to fulfill the combat mission requirements. This cognitive demand needs to be analysed to understand the workload of fighter pilot. Objective of this study is to analyse dynamic workload of fighter pilots in a realistic high-fidelity flight simulator environment during different flying workload conditions. The various workload conditions are (a) normal visibility, (b) low visibility, (c) normal visibility with secondary task, and (d) low visibility with secondary task. Though, pilot’s flying performance score was good, the physiological measure like heart rate variability (HRV) features and subjective assessment (NASA-TLX) components are found to be statistically significant (p |
| Databáze: | OpenAIRE |
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