## 3 Results
### Summary of the Selected Articles
#### 3.1.2 Industry
It obtained good results, but as in the shipbuilding IAR practices, it came out with the same defects in the perception of light for the markers in the area where they were applied [34]. A maintenance AR system was also developed for fast-track repair procedures in the context of industry 4.0. It was implemented in smartphones, where the elements were detected, and instructions were given for the repair or support of the service for the machinery. In this case, an air conditioning compressor was used as a sample. More than 20 experts evaluated the maturity of the product, noting that support can be effective, especially in reducing the time by 30% [35]. The performance of AR in the food industry remains significantly low. This document defines AR, its benefits and challenges, and proposes a framework for the implementation of AR in the food industry. It points out the importance of interactive menus within restaurants, and it also mentions the need for fast operation and the ability to be able to take advantage of the best options within the wide range that this technology offers, since it is very new, in addition to considering its role in increasingly smaller, cheaper, and more robust devices [36]. IAR still struggles with various challenges mainly caused by technical limitations, security problems, or industry-specific restrictions. The implementation of an open-source AR remote helped to carry out an examination to compare it with a printed manual. The study aimed to know which method uses less time and errors. The result obtained showed that AR helps to reduce defects in processes with 13% failure compared to 53% from paper, and the time in the execution of the activity was reduced by 3 s. Even though the differences in time were not significant, the instructions tasks were much easier to follow, and the reduction in mistakes made it totally worth it [15]. Talking about the construction industry, there was acceptance of a building information model (BIM) and AR integration. The research was based on the Technology Acceptance Model 3 (TAM3). The scope was narrowed to four developing countries (Malaysia, Egypt, Saudi Arabia, and Turkey), and a survey was developed and distributed to construction professionals in those places for data collection purposes. Exploratory factor analysis (EFA) was used to develop the TAM, and regression analysis was performed to validate it. The TAM3 showed that users' control over BIM-AR and the perception of simplicity in use have the greatest influence on the effectiveness of the system. The results of this study can be used to evaluate the acceptance of BIM-AR integration in the context of the construction industry, and the TAM3 can be applied for the improvement of a new BIM-AR that can be used in developing countries [12]. Exceeding traditional paper manuals, there was a study to compare three different disassembly sequences seeking to achieve the best performance, after which a simulation was carried out with IAR where the best assembler is taken as a model. Looking at the AR simulation, it could be noted how the chosen layout showed a flexible approach for mounting and dismounting (i.e., three axes with all individual elements and end covers for each, which would also allow for a parallel dismounting approach). Piece interference was checked for each sequence [31]. There was an enhancement made in the planning and integration process for the required data and production systems that are user-oriented and partially automated. This was made thanks to a machinery maintenance system through AR that simulates scenarios with models implemented in a CAD procedure, a production data management system (PDM), a manufacturing execution system (MES), and CNC [37]. Additionally, an AR system was analyzed where different tasks could be assisted remotely with experts in the area supporting the operators within the industry to have a better performance.