A Methodology for the Assessment of Operator 4.0 Skills based on Sentiment Analysis and Augmented Reality
Dimitris Mourtzis, John D. Angelopoulos, Vasilis Siatras, Nikos Panopoulos · Procedia CIRP · 2021
Human-Cyber-Physical Systems are the key to the successful operation of manufacturing systems. Consequently, the need for adequate assessment of human operators and tracking of their skills and competencies evolution emerges. Additionally, the advances in digital technologies encourage the development of supportive and adaptive frameworks for the operation of flexible manufacturing systems. This paper presents an Augmented Reality based methodology for the detailed evaluation of human skills and competencies based on the processing of raw textual data with a Natural Language Processing algorithm, aiming at the provision of technician guidance. The developed framework is tested and validated in an industrial environment.