Bridging the Skills Gap of Workers in Industry 4.0 by Human Performance Augmentation Tools: Challenges and Roadmap

Eric Ras, Fridolin Wild, Christoph Stahl, Alexandre Baudet
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引用次数: 115

Abstract

Industry 4.0 is a coordinated push for automation in Smart Factories and other Cyber-Physical Systems (CPS). The increasing complexity of frequently changing production environments challenges shop floor workers to perform well. The tasks they work on are getting less routine and ask for continuous knowledge and skills development. For example, the skills portfolio of workers likely requires improved higher-order thinking and decision-making skills. A wide range of research and development efforts already today sets focus on different areas of workplace learning, including performance appraisals, pedagogy and education, technology, and business economics. Bridging the skills gap, however, requires novel user-facing technologies -- such as Augmented Reality (AR) and wearables -- for human performance augmentation to improve efficiency and effectiveness of staff delivered through live guidance. AR branches out beyond mobile apps with 3D-object superimposition for marketing purposes to rather complex use cases delivered by a rapidly growing innovation ecosystem of hard- and software providers collaborating closely with R&D organisations. This paper provides a first shared vision on how AR can tackle four different challenges related to handling complexity in a CPS environment: develop intelligent assistance systems for learning and performance assessment at the workplace, adapt job profiles accordingly, and last but not least to address also the issue of work-life balance. The paper concludes with an outline of a research roadmap.
通过人力绩效增强工具弥合工业4.0中工人的技能差距:挑战和路线图
工业4.0是智能工厂和其他网络物理系统(CPS)自动化的协调推动。不断变化的生产环境日益复杂,这对车间工人的表现提出了挑战。他们所从事的任务变得越来越不常规,需要不断地发展知识和技能。例如,工人的技能组合可能需要提高更高层次的思维和决策能力。如今,广泛的研究和开发工作已经将重点放在了工作场所学习的不同领域,包括绩效评估、教育学和教育、技术和商业经济学。然而,弥合技能差距需要新颖的面向用户的技术,如增强现实(AR)和可穿戴设备,通过现场指导提高员工的效率和有效性。AR的应用范围已经超越了以营销为目的的带有3d对象叠加的移动应用,还扩展到了由硬件和软件提供商与研发机构密切合作的快速增长的创新生态系统所提供的相当复杂的用例。本文提供了关于AR如何解决与CPS环境中处理复杂性相关的四种不同挑战的第一个共同愿景:开发用于工作场所学习和绩效评估的智能辅助系统,相应地调整工作配置文件,最后但并非最不重要的是解决工作与生活平衡问题。论文最后概述了研究路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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