A multi-dimensional comprehensive evaluation model of mental workload for complex flight missions

WEI Zongmin

doi:10.13700/j.bh.1001-5965.2019.0452

Volume 46 Issue 7

Jul. 2020

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Journal of Beijing University of Aeronautics and Astronautics > 2020 > 46(7): 1287-1295.

WEI Zongmin. A multi-dimensional comprehensive evaluation model of mental workload for complex flight missions[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(7): 1287-1295. doi: 10.13700/j.bh.1001-5965.2019.0452(in Chinese)

Citation:

WEI Zongmin. A multi-dimensional comprehensive evaluation model of mental workload for complex flight missions[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(7): 1287-1295. doi: 10.13700/j.bh.1001-5965.2019.0452(in Chinese)

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A multi-dimensional comprehensive evaluation model of mental workload for complex flight missions

doi: 10.13700/j.bh.1001-5965.2019.0452

WEI Zongmin^,

Department of Aviation Safety Management, Civil Aviation Management Institute of China, Beijing 100102, China

Funds:

National Basic Research Program of China 2010CB734104

National Natural Science Foundation of China 61672076

National High-tech Research and Development Program of China 18-H863-01-ZT-005-033-01

Civil Aviation Safety Capacity Building Project DFS20190402

More Information

Corresponding author: WEI Zongmin. E-mail:weizongmin8411@163.com
Received Date: 22 Aug 2019
Accepted Date: 30 Aug 2019
Publish Date: 20 Jul 2020

Abstract

Abstract

To solve the problems of mental workload assessment in multiple flight tasks of the aircraft cockpit multi-display interfaces, we design three different types of flight missions of the multi-display interfaces, i.e. flight monitor, flight calculation, and radar detection, to systematically develop the experimental measurement and the theoretical modeling of the mental workload via the conjunctive use of many kinds of measuring technique. Our experimental results reveal that, with increasing flight mission modes, the changes are:the subjective assessment scores of NASA-Task Load Index (NASA-TLX) increase significantly, the accuracy rate of the flight operation decreases gradually, and the response time becomes obviously longer; the value of the P3a component index in the Event-Related Potential(ERP) measurement technique at Fz electrode reduces gradually, the value of SDNN index in the Electrocardiogram (ECG) measurement also decreases gradually, and no obvious change in the number of blinks in the Electrooculogram (EOG) measurement is further confirmed. Based on the Bayesian discriminant analysis method, a multi-dimensional comprehensive evaluation model of mental workload for complex flight tasks was established, and the comprehensive evaluation model was compared with models based on a single indicator, dual indicators, three indicators, and four indicators. The results showed that the five-index model founded by the Bayesian-Fisher discrimination and classification method shows a much higher accuracy rate for the level discrimination and prediction results of mental workload in comparison with other index models. Its average discrimination accuracy rate is 82.22%. Obviously, This model provides an effective quantitative method and scientific basis for the display interface mental task design in large and complex systems, and helps fighter and transportation aircraft designers to optimize the display interface mental task design, but also provide a unique compliance verification tool for the airworthiness certification of flight deck display interface.
- display interface,
- mental workload,
- multi-flight missions,
- comprehensive evaluation model,
- airworthiness certification

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References(16)

References

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