北京航空航天大学学报 ›› 2014, Vol. 40 ›› Issue (8): 1066-1072.doi: 10.13700/j.bh.1001-5965.2013.0512

• 论文 • 上一篇    下一篇

基于注意资源分配的情境意识模型

刘双, 完颜笑如, 庄达民, 吕诗晨   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100191
  • 收稿日期:2013-09-22 出版日期:2014-08-20 发布日期:2014-08-27
  • 作者简介:刘双(1986-),女,安徽宣城人,博士生,liushuangbh@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61179053);高等学校博士学科点专项科研基金资助项目(20121102120013)

Situational awareness model based on attention allocation

Liu Shuang, Wanyan Xiaoru, Zhuang Damin, Lü Shichen   

  1. School of Aeronautics Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2013-09-22 Online:2014-08-20 Published:2014-08-27

摘要: 为预测飞行员情境意识的变化情况,在前期建立的注意资源分配模型及情境意识模型基础上,考虑任务环境中信息成分重要度对情境意识水平的影响,并结合人的认知特性及贝叶斯条件概率理论,提出了一种新的情境意识量化模型和求解方法.为验证模型的效度,采用20名被试在不同任务条件下开展仪表监视实验,并采用情境意识全面测量技术(SAGAT,Situation Awareness Global Assessment Technique)、三维度情境意识评定技术(3-D SART,3-Dimensional Situational Awareness Rating Technique)、操作绩效和眼动测量4种方法,对不同任务条件下的情境意识水平进行测评.综合测评结果表明,根据预测模型计算所得的情境意识水平变化趋势与被试实际操作所获得的实验结果高度相关.提出的情境意识量化模型对指导驾驶舱人机显示界面设计和减少人为失误有一定的参考价值.

Abstract: To predict the changes of situation awareness for the pilot, a new quantitative situation awareness model and solving method, which considered the influence of information importance on situation awareness, the characteristics of human cognition and the Bayesian conditional probability theory, was proposed based on the attention allocation model and the situation awareness model built previously. In order to verify the validity of the model, 20 subjects performed an instrument supervision task under different task conditions. Situation awareness global assessment technique (SAGAT), 3-dimensional situational awareness rating technique (3-D SART), performance measure and eye movement measure were adopted for evaluating the situation awareness under different task conditions. The integrated experimental results reveal that the changing trend of situation awareness calculated by the model is highly correlated with the practical experimental results. This new quantitative situation awareness model will provide a reference for the optimization design of the cockpit display interface and the research of reducing the human error.

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