Methodology for augmented reality-based adaptive assistance in industry

Gr´egoire Mompeu *, Florence Danglade , Fr´ed´eric M´erienne , Christophe Guillet. Methodology for augmented reality-based adaptive assistance in industry[J], 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

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