Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing

Yang, Jialu ORCID: https://orcid.org/0000-0003-1463-2677, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Morgan, Phillip L. ORCID: https://orcid.org/0000-0002-5672-0758 2024. Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing. Digital Engineering 2 , 100013. 10.1016/j.dte.2024.100013

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Since the concept of Industry 5.0 was proposed, the emphasis on human–machine​ interaction (HMI) in industrial scenarios has continued to increase. HMI is part of the factory’s development towards Industry 5.0, mainly because HMI can help realise the human-centric vision. At the same time, to achieve the sustainable and resilient goals proposed by Industry 5.0, green, smart, and more advanced technologies are also considered important driving factors for factories to achieve Industry 5.0. Human-centric smart manufacturing (HCSM) factories that integrate HMI with advanced technologies are expected to become the paradigm of future manufacturing. Therefore, it is necessary to discuss technologies and research directions that may promote the implementation of HCSM in the future. In a smart factory, HMI signals will go through the process of being collected by sensors, processed, transmitted to the data analysis centre and output to complete the interaction. Based on this process, we divide HMI into four parts: sensor and hardware, data processing, transmission mechanism, and interaction and collaboration. Through a systematic literature review process, this article evaluates and summarises the current research and technologies in the HMI field and categorises them into four parts of the HMI process. Since the current usage scenarios of some technologies are relatively limited, the introduction focuses on the possible applications and problems they face. Finally, the opportunities and challenges of HMI for Industry 5.0 and HCSM are revealed and discussed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering Psychology
Publisher:	Elsevier
ISSN:	2950-550X
Date of First Compliant Deposit:	13 August 2024
Date of Acceptance:	26 July 2024
Last Modified:	02 Oct 2024 09:07
URI:	https://orca.cardiff.ac.uk/id/eprint/171351

Actions (repository staff only)

Edit Item