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分布式认知:理解复杂的社会技术信息学

Distributed Cognition: Understanding Complex Sociotechnical Informatics.

作者信息

Furniss Dominic, Garfield Sara, Husson Fran, Blandford Ann, Franklin Bryony Dean

机构信息

University College London, Gower Street, London; UK.

Imperial College Healthcare NHS Trust, London; UK.

出版信息

Stud Health Technol Inform. 2019 Jul 30;263:75-86. doi: 10.3233/SHTI190113.

Abstract

Distributed cognition theory posits that our cognitive tasks are so tightly coupled to the environment that cognition extends into the environment, beyond the skin and the skull. It uses cognitive concepts to describe information processing across external representations, social networks and across different periods of time. Distributed cognition lends itself to exploring how people interact with technology in the workplace, issues to do with communication and coordination, how people's thinking extends into the environment and sociotechnical system architecture and performance more broadly. We provide an overview of early work that established distributed cognition theory, describe more recent work that facilitates its application, and outline how this theory has been used in health informatics. We present two use cases to show how distributed cognition can be used at the formative and summative stages of a project life cycle. In both cases, key determinants that influence performance of the sociotechnical system and/or the technology are identified. We argue that distributed cognition theory can have descriptive, rhetorical, inferential and application power. For evidence-based health informatics it can lead to design changes and hypotheses that can be tested.

摘要

分布式认知理论认为,我们的认知任务与环境紧密相连,以至于认知延伸到环境中,超越了皮肤和头骨的范围。它使用认知概念来描述跨外部表征、社交网络以及不同时间段的信息处理。分布式认知有助于探索人们在工作场所如何与技术互动、与沟通和协调相关的问题、人们的思维如何延伸到环境中以及更广泛的社会技术系统架构和性能。我们概述了确立分布式认知理论的早期工作,描述了促进其应用的近期工作,并概述了该理论在健康信息学中的应用方式。我们展示了两个用例,以说明分布式认知如何在项目生命周期的形成阶段和总结阶段使用。在这两个案例中,都确定了影响社会技术系统和/或技术性能的关键决定因素。我们认为分布式认知理论具有描述、修辞、推理和应用能力。对于循证健康信息学而言,它可以带来可测试的设计变更和假设。

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