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Modeling and Simulating Astronaut’s Performance in a Three-Level Architecture

  • Chunhui Wang
  • Shanguang Chen
  • Yuqing Liu
  • Dongmei Wang
  • Shoupeng Huang
  • Yu Tian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10906)

Abstract

Astronaut’s capabilities to successfully complete specific tasks during missions is of vital importance for spaceflight. While in spaceflight, astronauts are exposed to numerous stressors, such as microgravity, confinement and radiation, all of which may impair human capabilities. So it is crucial to get a better understanding of astronauts’ capabilities and to better predict their task performance during long-term spaceflights. Computer models can be used to learn from and even predict human performance, which can enhance early evaluation of system designs, and reduce the time cycle and costs of system development. To support modeling and simulation of astronaut’s performance in specific physical and cognitive tasks during spaceflight, we established the Astronaut Modeling and Simulation System (AMSS), which is the first integrated modeling and simulation platform for human-system integration design faced to long-duration manned space missions in China. A three-level model architecture has been proposed, which consists of the human characteristic models, the behavioral models (cognitive and biomechanical) and the performance evaluation models. The multiple models are integrated in AMSS. The ability to visualize the virtual environment of space vehicle, the virtual astronaut, the operator’s performance and task processes makes AMSS a user-friendly platform. Models in AMSS have been preliminarily validated by experimental data. AMSS has been used to perform the quantitative evaluation of the human-machine interface designs of China’s space lab and the on-going space station missions, and will be applied to the human-system integration design in China’s future space missions.

Keywords

Astronaut Performance Modeling and simulation 

Notes

Acknowledgments

This work was supported by the National Basic Research Program of China (2011CB711000).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Chunhui Wang
    • 1
  • Shanguang Chen
    • 1
    • 2
  • Yuqing Liu
    • 1
  • Dongmei Wang
    • 3
  • Shoupeng Huang
    • 1
  • Yu Tian
    • 1
  1. 1.National Key Laboratory of Human Factors EngineeringChina Astronaut Research and Training CenterBeijingChina
  2. 2.China Manned Space ProgramBeijingChina
  3. 3.School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghaiChina

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