北京航空航天大学学报 ›› 2018, Vol. 44 ›› Issue (7): 1438-1446.doi: 10.13700/j.bh.1001-5965.2017.0532

• 论文 • 上一篇    下一篇

基于多资源负荷理论的情境意识模型与应用

冯传宴, 完颜笑如, 陈浩, 庄达民   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100083
  • 收稿日期:2017-08-21 出版日期:2018-07-20 发布日期:2018-07-25
  • 通讯作者: 完颜笑如.E-mail:wanyanxiaoru@buaa.edu.cn E-mail:wanyanxiaoru@buaa.edu.cn
  • 作者简介:冯传宴 男,博士研究生。主要研究方向:情境意识、脑力负荷、驾驶舱人机工效;完颜笑如 女,博士,讲师,硕士生导师。主要研究方向:航空人机工效与认知工程、人机工效;陈浩 男,硕士研究生。主要研究方向:驾驶舱人机工效;庄达民 男,博士,教授,博士生导师。主要研究方向:航空人机工效与认知工程、人机工效。
  • 基金资助:
    国家自然科学基金委员会与中国民用航空局联合资助项目(U1733118);国家自然科学基金(71301005)

Situation awareness model based on multi-resource load theory and its application

FENG Chuanyan, WANYAN Xiaoru, CHEN Hao, ZHUANG Damin   

  1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2017-08-21 Online:2018-07-20 Published:2018-07-25

摘要: 结合多资源负荷理论及信息认知加工理论,在注意-情境意识(A-SA)模型和注意资源分配SA模型基础上,提出了一种新的SA量化模型。该模型中,多资源负荷作用于低层次的注意感知,初期认知资源衰减结合情境激活后内在的高层次规则可用性匹配,最终输出为个体的SA水平。为验证模型可用性,采用15名被试在不同情境下开展飞行任务模拟,并结合主观的十维度情境意识测评技术(10-D SART)和客观的飞行绩效、情境意识全面测量技术(SAGAT)以及生理测量(心电、皮电及呼吸)进行实验测评。实验分析表明,模型计算的理论值变化趋势与实验结果显著相关,提出的SA量化模型对于指导驾驶舱人机界面设计和优化飞行任务分配具有一定的参考价值。

关键词: 情境意识(SA), 多资源负荷, 认知建模, 脑力负荷, 界面设计, 人机工效

Abstract: Based on the attention-situation awareness (A-SA) model and the attention resource allocation situation awareness model, a new quantitative model of situation awareness was put forward, which considers the multi-resource load and information recognition theory. In this model, the multi-resource load was applied to the low-level attention perception. The individual's situational awareness was composed of the damping of initial cognitive resource and the inherent deep-level rule availability matching after the activation of situation. In order to verify the usability of the model, 15 subjects were selected to complete the simulated flight task in different situations, and the subjective 10-dimensional situational awareness rating technology (10-D SART) and objective flight performance, situational awareness global assessment technique (SAGAT), and physiological measurement (electrocardiogram, electrodermal activity and respiration) were combined to carry out the experimental test. The experimental analysis indicates that the trend of the theoretical value predicted by the model is significantly related to the experimental results. The proposed situation awareness quantitative model can give some reference to guide the design of man-machine interface in the cockpit and to optimize the flight task assignment.

Key words: situation awareness (SA), multi-resource load, cognitive modeling, mental workload, interface design, ergonomic

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