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一种联合认知系统功能属性的社会技术分析:飞机驾驶舱中的案例研究。

A socio-technical analysis of functional properties in a joint cognitive system: a case study in an aircraft cockpit.

机构信息

Division of Risk Management and Societal Safety, Lund University , Lund , Sweden.

Department of Mechanical and Aerospace Engineering, Sapienza University of Rome , Roma , Italy.

出版信息

Ergonomics. 2019 Dec;62(12):1598-1616. doi: 10.1080/00140139.2019.1661527. Epub 2019 Sep 9.

Abstract

In a socio-technical work domain, humans, device interfaces and artefacts all affect transformations of information flow. Such transformations, which may involve a change of auditory to visual information & vice versa or alter semantic approximations into spatial proximities from instruments readings, are generally not restricted to solely human cognition. This paper applies a joint cognitive system approach to explore a socio-technical system. A systems ergonomics perspective is achieved by applying a multi-layered division to transformations of information between, and within, human and technical agents. The approach uses the Functional Resonance Analysis Method (FRAM), but abandons the traditional boundary between medium and agent in favour of accepting aircraft systems and artefacts as agents, with their own functional properties and relationships. The joint cognitive system perspective in developing the FRAM model allows an understanding of the effects of task and information propagation, and eventual distributed criticalities, taking advantage of the functional properties of the system, as described in a case study related to the cockpit environment of a DC-9 aircraft. This research presents the application of one systemic method to understand work systems and performance variability in relation to the transformation of information within a flight deck for a specific phase of flight. By using a joint cognitive systems approach both retrospective and prospective investigation of cockpit challenges will be better understood. ATC: air traffic control; ATCO: air traffic controller; ATM: air traffic management; CSE: cognitive systems engineering; DSA: distributed situation awareness; FMS: flight management system; FMV: FRAM model visualize; FRAM: functional resonance analysis method; GF: generalised function; GW: gross weight; HFACS: human factors analysis and classification system; JCS: joint cognitive systems; PF: pilot flying; PNF: pilot not flying; SA: situation awareness; SME: subject matter expert; STAMP: systems theoretic accident model and processes; VBA: visual basic for applications; WAD: work-as-done; WAI: work-as-imagined; ZFW: zero fuel weight.

摘要

在社会技术工作领域,人类、设备接口和人工制品都会影响信息流的转换。这种转换可能涉及从听觉信息到视觉信息的转换,反之亦然,或者根据仪器读数将语义近似值转换为空间接近度,通常不限于人类认知。本文应用联合认知系统方法来探索社会技术系统。通过对人类和技术代理之间以及内部的信息转换进行多层次划分,实现了系统工效学的观点。该方法使用功能共振分析方法(FRAM),但摒弃了传统的媒介和代理之间的界限,转而接受飞机系统和人工制品作为代理,具有自己的功能属性和关系。在开发 FRAM 模型时,联合认知系统方法允许理解任务和信息传播的影响,以及最终的分布式关键因素,利用系统的功能属性,如与 DC-9 飞机驾驶舱环境相关的案例研究所述。这项研究提出了一种系统方法的应用,以了解与特定飞行阶段的飞行甲板内信息转换相关的工作系统和性能变化。通过使用联合认知系统方法,可以更好地理解对驾驶舱挑战的回顾性和前瞻性调查。ATC:空中交通管制;ATCO:空中交通管制员;ATM:空中交通管理;CSE:认知系统工程;DSA:分布式态势感知;FMS:飞行管理系统;FMV:FRAM 模型可视化;FRAM:功能共振分析方法;GF:广义函数;GW:总重量;HFACS:人为因素分析和分类系统;JCS:联合认知系统;PF:飞行员飞行;PNF:飞行员不飞行;SA:态势感知;SME:主题专家;STAMP:系统理论事故模型和过程;VBA:Visual Basic for Applications;WAD:工作完成情况;WAI:工作想象情况;ZFW:零燃油重量。

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