Department of Work, Employment and Organisation, Strathclyde Business School, University of Strathclyde, Glasgow G4 0QU, UK.
Law School, University of Strathclyde, Glasgow G4 0LT, UK.
Sensors (Basel). 2023 Jul 14;23(14):6416. doi: 10.3390/s23146416.
Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing which promised a new level of interconnectedness between a diverse range of technologies. Sensors, as a point technology, play an important role in these developments, facilitating human-machine interaction and enabling data collection for system-level technologies. Concerns for human labour working in I4 environments (e.g., health and safety, data generation and extraction) are acknowledged by Industry 5 (I5), an update of I4 which promises greater attention to human-machine relations through a values-driven approach to collaboration and co-design. This article explores how engineering experts integrate values promoted by policy-makers into both their thinking about the human in their work and in their writing. This paper demonstrates a novel interdisciplinary approach in which an awareness of different disciplinary epistemic values associated with humans and work guides a systematic literature review and interpretive coding of practice-focussed engineering papers. Findings demonstrate evidence of an I5 human-centric approach: a high value for employees as "end-users" of innovative systems in manufacturing; and an increase in output addressing human activity in modelling and the technologies available to address this concern. However, epistemic publishing practices show that efforts to increase the effectiveness of manufacturing systems often neglect worker voice.
工业 4.0（I4）是制造业技术进步的革命性新阶段，承诺在各种技术之间实现新的互联水平。传感器作为一种点技术，在这些发展中发挥着重要作用，促进人机交互并为系统级技术提供数据收集。工业 5.0（I5）承认在 I4 环境中工作的人类劳动力的担忧（例如，健康和安全、数据生成和提取），这是 I4 的更新版本，通过协作和共同设计的价值观驱动方法，承诺更加关注人机关系。本文探讨了工程专家如何将政策制定者所倡导的价值观融入他们对工作和写作中人类的思考中。本文展示了一种新颖的跨学科方法，即对与人类和工作相关的不同学科认识论价值观的认识，指导对以实践为重点的工程论文进行系统文献综述和解释性编码。研究结果表明了 I5 以人为本的方法的证据：高度重视员工作为制造中创新系统的“最终用户”；并且增加了针对建模中人类活动和解决这一问题的可用技术的输出。然而，认识论出版实践表明，提高制造系统有效性的努力往往忽视了工人的声音。
