The mode of operation (input) of armored vehicles has become more diverse with the update of technology, and the mode of output has changed with each passing day. In order to study the human-computer interaction efficiency of armored vehicles under different modes and collect the physiological data of armored vehicle operators under different modes, a multi-mode interactive human-computer ergonomics test system was set up in this paper. The existing multimodal test bench can not fully take into account all load levels, input and output modes, and the physiological data collected is relatively simple, so the test system is not widely used. Therefore, a multi-modal test system based on virtual simulation technology is established in the laboratory. The system can select the environmental load level, cognitive loads level, input and output mode according to the experimental requirements, and can collect the human-computer interaction efficiency data and a variety of physiological signals.

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Design and Development of Ergonomic Test System for Armored Vehicle Under Multi-modal Human-Computer Interaction

  • Kedi Luan,
  • Baoqiao Guo,
  • Zhongliang Wei,
  • Yuansen Gu

摘要

The mode of operation (input) of armored vehicles has become more diverse with the update of technology, and the mode of output has changed with each passing day. In order to study the human-computer interaction efficiency of armored vehicles under different modes and collect the physiological data of armored vehicle operators under different modes, a multi-mode interactive human-computer ergonomics test system was set up in this paper. The existing multimodal test bench can not fully take into account all load levels, input and output modes, and the physiological data collected is relatively simple, so the test system is not widely used. Therefore, a multi-modal test system based on virtual simulation technology is established in the laboratory. The system can select the environmental load level, cognitive loads level, input and output mode according to the experimental requirements, and can collect the human-computer interaction efficiency data and a variety of physiological signals.