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运用定量建模识别飞行员不安全行为态势感知背后的认知机制

Identifying Cognitive Mechanism Underlying Situation Awareness of Pilots' Unsafe Behaviors Using Quantitative Modeling.

作者信息

Jiang Shaoqi, Chen Weijiong, Kang Yutao, Liu Jiahao, Kuang Wanglai

机构信息

College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China.

Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China.

出版信息

Int J Environ Res Public Health. 2021 Mar 16;18(6):3052. doi: 10.3390/ijerph18063052.

Abstract

Situation awareness (SA) of pilots' unsafe behavior can ensure safety onboard. Thus, the cognitive mechanism that controls the SA leading to unsafe behavior must be articulated. This study employs the SA model and theory of planned behavior (TPB) to articulate a quantitative model of ship safe piloting. Firstly, the hierarchical classification framework of unsafe behaviors was constructed as an analytical foundation for rational and unconscious behaviors in sight of cognitive processes, and then the measurement elements of the cognitive mechanisms for behaviors were identified. Subsequently, based on the structural model, a hypothetical model of the cognitive path for unsafe behaviors was proposed by using the extended TPB, where there are four independent variables (i.e., attitude (ATD), subjective norm (SN), and perceived behavioral control (PBC)), one mediating variables (i.e., SA) and two dependent variables (i.e., behavioral intention (BI) and unsafe behaviors (BE)). Finally, this hypothetical model was analyzed with the data resources from extended TPB questionnaire of 295 pilots. Analysis results show that relationships of causation and mediation in the cognitive mechanism are in line with the behavior pattern and SA have a pronounced mediating effect and a strong relevance to the causal chain of extended TPB framework. This study integrated the SA three-level model to understand the motivation-cognition-action-feedback (MCAF) mechanism of pilots' unsafe behaviors under cognitive mode of information processing through structural model. It would make a valuable contribution to the assessment and intervention of safety behaviors, and provide a basic framework for monitoring the situation awareness of pilot by man-machine interactive measurement technology in the future.

摘要

飞行员对不安全行为的态势感知(SA)能够确保飞行安全。因此,必须阐明控制导致不安全行为的态势感知的认知机制。本研究采用态势感知模型和计划行为理论(TPB)来阐明船舶安全驾驶的定量模型。首先,构建不安全行为的层次分类框架,作为从认知过程角度对理性和无意识行为的分析基础,然后确定行为认知机制的测量要素。随后,基于结构模型,运用扩展的计划行为理论提出不安全行为认知路径的假设模型,其中有四个自变量(即态度(ATD)、主观规范(SN)和感知行为控制(PBC))、一个中介变量(即态势感知(SA))和两个因变量(即行为意图(BI)和不安全行为(BE))。最后,利用来自295名飞行员扩展计划行为理论问卷的数据资源对该假设模型进行分析。分析结果表明,认知机制中的因果关系和中介关系符合行为模式,态势感知具有显著的中介作用,且与扩展计划行为理论框架的因果链有很强的相关性。本研究通过结构模型整合态势感知三级模型,以理解信息处理认知模式下飞行员不安全行为的动机 - 认知 - 行动 - 反馈(MCAF)机制。这将对安全行为的评估和干预做出有价值的贡献,并为未来通过人机交互测量技术监测飞行员的态势感知提供一个基本框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bf3/8002324/560f59b0af0d/ijerph-18-03052-g001.jpg

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