Title: Integration of human factors, cognitive ergonomics, and artificial intelligence in the human-machine interface for additive manufacturing

Authors: Eric Doran; Sharon Bommer; Adedeji Badiru

Addresses: Department of Engineering Management, Systems, and Technology, School of Engineering, University of Dayton, Dayton, Ohio 45469, USA ' Department of Engineering Management, Systems, and Technology, School of Engineering, University of Dayton, Dayton, Ohio 45469, USA ' Graduate School of Engineering & Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433, USA

Abstract: As additive manufacturing transitions from manufacturing prototypes to rapid manufacturing, more human factors considerations must be assessed and integrated for improved work design. This review paper provides an overview of human-machine integration for human factors, cognitive ergonomics, and artificial intelligence to improve the performance output of the additive manufacturing process. In addition, case studies are shared to provide integration concepts for artificially intelligent systems. It is anticipated that the contents of this review paper will pave the path for further research into the integration of human factors and cognitive ergonomics for artificial intelligence in additive manufacturing.

Keywords: additive manufacturing; artificial intelligence; cognitive ergonomics; design-evaluate-justify-integrate (DEJI) model; human-machine integration; mental workload; work design.

DOI: 10.1504/IJMMS.2022.127213

International Journal of Mechatronics and Manufacturing Systems, 2022 Vol.15 No.4, pp.310 - 330

Received: 13 Jul 2021
Accepted: 20 May 2022
Published online: 28 Nov 2022 *