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.

工业4.0技术是企业竞争力的关键要素。在这些技术中，增强现实（AR）已经显示出巨大的潜力和成果，可以帮助工人完成大量的工业流程。最新研究表明，AR 系统应该满足用户提供个性化体验的需求，从而提高该技术的采用率。尽管如此，仍然缺乏设计基于 AR 的辅助的理论指导，这些辅助能够根据用户的需求提供适当级别的信息细节和最佳信息设计。为了解决这个问题，我们开发了一种方法，描述自适应辅助的原理以及设计基于增强现实的自适应辅助系统（ARAAS）的标准特征和标准。我们将此方法应用于起落架大修操作中的工业维护用例。不同类型视察员的反馈强调了该系统的有用性及其提供适合其需求的援助的能力。