Session: CIE-13-01 - SEIKEM: Design Informatics

Paper Number: 89711

89711 - Review of Human-Machine Interaction Towards Industry 5.0: Human-Centric Smart Manufacturing 

Human-centric smart manufacturing (HCSM) is one of the essential pillars in Industry 5.0. Hence, human-machine interaction (HMI), as the centre of the research agenda for the advances of smart manufacturing, has also become the focus of Industry 5.0. As Industry 5.0 proposed three core concepts of human-centric, sustainable and resilient, the design orientation of HMI needs to change accordingly. Through understanding the state-of-the-art of HMI research, the technology roadmap of HMI development in the smart manufacturing paradigm can be shaped. In this paper, the focus is to review how HMI has been applied in smart manufacturing and predict future opportunities and challenges when applying HMI to HCSM. In this paper, we provide an HMI framework based on the interaction process and analyse the existing research on HMI across four key aspects: 1) Sensor and Hardware, 2) Data Processing, 3) Transmission Mechanism, and 4) Interaction and Collaboration. We intend to analyse the current development and technologies of each aspect and their possible application in HCSM. Finally, potential challenges and opportunities in future research and applications of HMI are discussed and evaluated, especially considering that the focus of design in HCSM shifts from improving productivity to the well-being of workers and sustainability.

Presenting Author: Jialu Yang Cardiff University

Presenting Author Biography: I received my MSc degree in Manufacturing Engineering Innovation and Management at the Engineering School of Cardiff University. After that, I joined the High-Value Manufacturing Group at the School of Engineering, Cardiff University as a PhD student on 1st, July 2021. My proposed PhD topic is ''Using Machine Learning to Analyse Human Factors in Smart Manufacturing''. Since the MSc period, my research has been focused on machine learning, data analysis and smart manufacturing.

Authors:

Jialu Yang Cardiff University
Tianyuan Liu Cardiff University
Ying Liu Cardiff University
Phillip Morgan Cardiff University