Protocole expérimental visant l'étude de l’IA centrée sur l'humain dans le contexte de l'Industrie 5.0: Application en réalité augmentée

Laurent Joblot (), Magnani Florian (), Frédéric Rosin (), Robert Pellerin and Mario Passalacqua
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Laurent Joblot: Arts et Métiers Sciences et Technologies
Magnani Florian: CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon, ECM - École Centrale de Marseille
Frédéric Rosin: Arts et Métiers Sciences et Technologies
Robert Pellerin: MAGI - Département de Mathématiques et de Génie Industriel - EPM - École Polytechnique de Montréal
Mario Passalacqua: MAGI - Département de Mathématiques et de Génie Industriel - EPM - École Polytechnique de Montréal

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Abstract: 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.

Keywords: Industrie 5.0; human-centric artificial intelligence; Augmented reality; motivation; engagement; H-CPPS; Intelligence Artificielle (IA) centrée sur l’humain; Réalité Augmentée (RA) (search for similar items in EconPapers)
Date: 2023-06-14
Note: View the original document on HAL open archive server: https://hal.science/hal-04142374v1
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Published in CIGI QUALITA MOSIM 2023, Jun 2023, Trois Rivières, Canada

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