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

机译:联合认知系统功能特性的社会技术分析:以飞机驾驶舱为例

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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. Practitioner Summary: 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.
机译:在社会技术工作领域,人,设备接口和人工制品都会影响信息流的转换。这种转换可能涉及将听觉转换为视觉信息,反之亦然,或者将语义近似值从乐器读数更改为空间近似值,通常不仅仅限于人类的认知。本文采用联合认知系统方法来探索社会技术系统。通过将多层划分应用于人员和技术人员之间以及内部的信息转换,可以实现系统的人机工程学观点。该方法使用功能共振分析方法(FRAM),但放弃了介质与代理之间的传统界限,转而接受具有自身功能特性和关系的飞机系统和人工制品作为代理。在开发FRAM模型中的联合认知系统观点允许利用系统的功能特性来了解任务和信息传播的影响以及最终的分布临界点,如与驾驶舱环境相关的案例研究所述。 DC-9飞机。从业人员摘要:这项研究提出了一种系统性方法的应用,以了解针对特定飞行阶段的驾驶舱内信息转换相关的工作系统和性能差异。通过使用联合认知系统方法,将更好地理解对座舱挑战的回顾性研究和前瞻性研究。

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