Erkoyuncu, John AhmetFernández del Amo, IñigoRoy, RajkumarDalle Mura, MichelaDini, Gino2017-07-062017-07-062017-04-17oyuncu J, Fernández del Amo I, Dalle Mura M, et al., (2017) Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality. CIRP Annals - Manufacturing Technology, Volume 66, Issue 1, 2017, pp. 465-4680007-8506http://dx.doi.org/10.1016/j.cirp.2017.04.006https://dspace.lib.cranfield.ac.uk/handle/1826/12166Efficiency of industrial maintenance operation is significantly dependent on the skill and practice of the technicians involved. This paper demonstrates a novel approach to improve the maintenance efficiency through adaptive operational support using a context aware Augmented Reality (AR) technique that adapts with available data and the skill level of the technicians and without the need for prior working knowledge of AR. The AR system can be dynamically adapted by non-programmer maintenance technicians to improve the efficiency further.enAttribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.Augmented realityMaintenanceAdaptive authoringArticle17520134