An interdisciplinary perspective on generative AI as support for human-centricity in Industry 5.0

This article addresses an interdisciplinary approach to human centricity in Industry 5.0. Industry 5.0 is the vision outlined by the European commission to place humans at the centre of production. The interdisciplinary research focuses on distributed situation awareness (DSA) and situated learning (SL). Contribution in the article is a set of lessons learned from interdisciplinary research on industry 5.0 and the research approach has been stimulated recall interviews followed by a process analysis. Three lessons learned were identified: 1) DSA and SL not only complement each other in the understanding of operators it also enriches and expands our understanding of interdisciplinary research. 2) Combining theories with a factor perspective (no temporal dimension) and a process perspective (with a temporal dimension) enhances a deeper understanding of operators and 3) Learning is always present during operators’ work. Hence it is important to apply a broad perspective on learning, such as combining cognition and socio-cultural learning theories. Future work will study the implications of iterative implementation of DSA and SL in industry.