Abstract: International audience ; Industry 4.0’s primary goal is generally to create a learning and agile enterprise, capable of adapting continuously to changing conditions through new technologies’ utilization. However, the results of previous developments remain mitigated, mainly due to a primarily techno-centric approach. In contrast, the concept of Industry 5.0 is now defined as a human-centred approach, including social, societal, and environmental considerations. The evolution towards new models of agile organizations implies, in particular, greater autonomy for teams based on improved and accelerated decision-making. However, I4.0 technology’s influence on the performance, motivation, engagement, and cognitive load of employees in a production setting remains largely under-researched. In this article, we present an experimental methodology to address this gap. We discuss its future application to a use case in which artificial intelligence (AI) and augmented reality (AR) are implemented to aid the operator in an error-detection manufacturing task. Finally, the methodological choices are elucidated, in preparation for the upcoming testing and operational implementation phases of the system. Results from the application of the experimental methodology will be used to identify the key factors contributing to the success and failure of AI and AR system design and implementation. Ultimately, we aim to understand how to promote positive outcomes for the employees using the system, in terms of performance, engagement, motivation, and autonomy. ; L'objectif affiché de la transformation numérique opérée dans le cadre de l’Industrie 4.0 est de créer une entreprise apprenante, agile et capable de s'adapter à des conditions changeantes en utilisant de nouvelles technologies. Cependant, après une décennie de développements, les résultats restent très mitigés notamment en raison d’une approche trop technocentrée. Par opposition, l'Industrie 5.0 se définit aujourd’hui comme une approche centrée sur l'humain, incluant des ...
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