Division of Industrial Work Environment, Centre of Advanced Mining and Metallurgy (CAMM), Department of Business Administration, Technology and Social Sciences, Luleå University of Technology, SE-97187 Luleå, Sweden.
Ergonomics. 2011 Oct;54(10):904-16. doi: 10.1080/00140139.2011.606922.
The purpose of this article is to develop knowledge and learning on the best way to automate organisational activities in deep mines that could lead to the creation of harmony between the human, technical and the social system, towards increased productivity. The findings showed that though the introduction of high-level technological tools in the work environment disrupted the social relations developed over time amongst the employees in most situations, the technological tools themselves became substitute social collaborative partners to the employees. It is concluded that, in developing a digitised mining production system, knowledge of the social collaboration between the humans (miners) and the technology they use for their work must be developed. By implication, knowledge of the human's subject-oriented and object-oriented activities should be considered as an important integral resource for developing a better technological, organisational and human interactive subsystem when designing the intelligent automation and digitisation systems for deep mines. STATEMENT OF RELEVANCE: This study focused on understanding the social collaboration between humans and the technologies they use to work in underground mines. The learning provides an added knowledge in designing technologies and work organisations that could better enhance the human-technology interactive and collaborative system in the automation and digitisation of underground mines.
本文旨在探讨如何以最佳方式实现深部矿山组织活动的自动化，以促进人机技术和社会系统之间的和谐，从而提高生产力。研究结果表明，尽管在工作环境中引入高级技术工具在大多数情况下破坏了员工之间长期发展的社会关系，但技术工具本身已成为员工的替代社交协作伙伴。研究得出结论，在开发数字化矿山生产系统时，必须了解人类（矿工）与他们用于工作的技术之间的社会协作。这意味着，在设计深部矿山的智能自动化和数字化系统时，应该将人类面向主体和面向客体的活动知识视为开发更好的技术、组织和人机交互子系统的重要组成资源。相关性声明：本研究侧重于理解人类与他们在地下矿山工作时使用的技术之间的社会协作。这一研究为设计技术和工作组织提供了更多的知识，这些技术和工作组织可以更好地增强自动化和数字化地下矿山中的人机交互和协作系统。
