Industrial Engineering and Automation (IEA), Faculty of Engineering, Free University of Bozen-Bolzano, Piazza Domenicani 3, 39100, Bolzano, Italy.
Department of Psychology, Università di Bologna, Via Zamboni 33, 40126, Bologna, Italy.
Appl Ergon. 2024 May;117:104246. doi: 10.1016/j.apergo.2024.104246. Epub 2024 Feb 13.
Within the framework of Industry 5.0, human factors are essential for enhancing the work conditions and well-being of operators interacting with even more advanced and smart manufacturing systems and machines and increasing production performances. Nevertheless, cognitive ergonomics is often underestimated when implementing advanced industrial human-robot interaction. Thus, this work aims to systematically update, develop, and validate guidelines to assist non-experts in the early stages of the design of anthropocentric and collaborative assembly applications by focusing on the main features that have positively influenced workers' cognitive responses. A methodology for structured development has been proposed. The draft guidelines have been created starting from the outcomes of a systematic and extended screening of the scientific literature. Preliminary validation has been carried out with the help of researchers working in the field. Inputs on comprehensibility and relevance have been gathered to enhance the guidelines. Lastly, a survey was used to examine in depth how international experts in different branches can interpret such guidelines. In total, 108 responders were asked to qualitatively and quantitatively evaluate the guideline's comprehensibility and provide general comments or suggestions for each guideline. Based on the survey's results, the guidelines have been validated and some have been reviewed and re-written in their final form. The present work highlights that integrating human factors into the design of collaborative applications can significantly bolster manufacturing operations' resilience through inclusivity and system adaptability by enhancing worker safety, ergonomics, and wellbeing.
在工业 5.0 的框架内,人为因素对于改善操作人员的工作条件和幸福感至关重要,因为他们需要与更先进和智能化的制造系统和机器进行交互,并提高生产性能。然而,在实施先进的工业人机交互时,认知工效学往往被低估。因此,这项工作旨在通过关注对工人认知反应产生积极影响的主要特征,系统地更新、开发和验证指南,以协助非专业人员在以人为中心和协作装配应用程序的设计早期阶段。已经提出了一种结构化开发方法。从对科学文献的系统和扩展筛选的结果出发,制定了草案指南。初步验证是在该领域的研究人员的帮助下进行的。为了提高指南的易懂性和相关性,收集了关于可理解性和相关性的意见。最后,进行了一项调查,以深入研究不同领域的国际专家如何解释这些指南。总共有 108 名受访者被要求定性和定量评估指南的易懂性,并为每条指南提供一般意见或建议。根据调查结果,对指南进行了验证,并对一些指南进行了审查和重新编写,以形成最终形式。本工作强调,通过提高工人的安全性、工效学和幸福感,将人为因素纳入协作应用程序的设计中,可以通过包容性和系统适应性显著增强制造操作的弹性。