Gr´egoire Mompeu *, Florence Danglade , Fr´ed´eric M´erienne , Christophe Guillet. Methodology for augmented reality-based adaptive assistance in industryJ, Computers in Industry 154 (2024) 104021
Abstract
Industry 4.0 technologies are key elements for companies' competitiveness. Among these technologies,
Augmented Reality (AR) already shows great potential and results to assist workers through a large panel of
industrial processes. Latest research suggests that AR systems should meet the user's needs to deliver a
personalized experience and therefore improve the adoption of the technology. Nevertheless, there is still a lack
of theoretical guidance to design AR-based assistance capable of delivering both the right level of details of
information and the best information design, based on the user's needs. To address this problematic, we
developed a methodology describing the principle of adaptive assistance as well as standard characteristics and
criteria to design Augmented Reality-based Adaptive Assistance Systems (ARAAS). We applied this methodology
on an industrial maintenance use case in the context of landing gears' overhaul operation. The feedbacks from
different profiles of inspectors underline the usefulness of such system and its capacity to deliver an assistance
adapted to their needs.
Methodology
Conclusion
The methodology presented in this paper has been developed to
answer the question: How to define standard characteristics and criteria
that can be used to design adaptive assistance systems for a large variety
The methodology presented in this paper has been developed to
answer the question: How to define standard characteristics and criteria
that can be used to design adaptive assistance systems for a large variety