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.

中文翻译：

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更新以人为本的协作机器人应用中的认知人体工程学设计指南：专家调查

在工业 5.0 的框架内，人为因素对于改善操作员的工作条件和福祉，与更先进和智能的制造系统和机器互动以及提高生产绩效至关重要。然而，在实现先进的工业人机交互时，认知人体工程学常常被低估。因此，这项工作旨在系统地更新、开发和验证指南，通过关注对工人认知反应产生积极影响的主要特征，在以人类为中心的协作装配应用程序设计的早期阶段为非专家提供帮助。已经提出了结构化开发的方法。该指南草案是根据对科学文献进行系统和广泛筛选的结果而制定的。在该领域研究人员的帮助下已经进行了初步验证。收集了有关可理解性和相关性的意见，以加强指南。最后，通过一项调查来深入研究不同领域的国际专家如何解读这些指南。总共有 108 名受访者被要求定性和定量评估指南的可理解性，并为每项指南提供一般性意见或建议。根据调查结果，指南已经过验证，其中一些指南已经过审查并以最终形式重新编写。目前的工作强调，将人为因素融入协作应用程序的设计中，可以通过增强工人的安全、人体工程学和福祉，通过包容性和系统适应性来显着增强制造运营的弹性。