# Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors
## 1 Introduction
In terms of assembly and training, what is expected is an increase in the efficiency of manpower and usability of the AR implementation during preparation and operation, with enhanced performance for someone who is new in the activity he/she has just learned. On the basis of the lack of applied solutions available in the literature all over the world [6], it is easy to perceive that the technology is ahead of the processes that would made use of it, in most  
Figure 1: Forecast user base of AR market in 2025, modified from [5]. cases. Even though this technology has been on the market for several years [11], it still requires an extensive analysis of its applicability, due to the inexistence of processes that will make use of the potentialities. To have the ability to evaluate a plant layout, for example, it is necessary to have all diagrams in databases being updated as new information accrues. If the update process is not available, the technology existence is useless. Another consideration is the interaction with the devices that are hand-based. The major activities in the assembly or maintenance tasks need hands-free actions, while other kind of applications may have the possibility to use hands to interact with the hardware. This type of situation, in terms of ergonomics, generates potential impediments to the adoption of technology. Depending on the hardware/software solution, process and data availability, the adoption in the industry could be finally increased. There are also activities where the cognitive aspect will be more demanding than in others, where the adoption of AR may favor the execution of the activity when it can assist the operator in its decision making. Cognitive ergonomics should not be overlooked in the industrial context, where a highly dynamic, integrated, and robotic environment prevents the exchange of information, once verbal, available in a timely manner. In this context, there is an increase in the operator's cognitive activities in industrial plants with a reduced number of human beings, requiring the availability of information to obtain competitive advantages during the operation and maintenance of the systems. Maintenance is still largely done by humans who are not operating the machines, which leads to increasing reliance on computerized decision support systems. Such discussion leads us to identify how to be more efficient and safer in an increasingly automated industry, where production lines must operate continuously, maintaining the quality of products and the overall efficiency of their processes. The AR is and will be used to expose the information in this environment by providing information to the operators/maintainers of the systems of interest at the moment and in the way that allows the human being to be more efficient. To do so, one must build a path that will lead to success in adopting AR in each segment. The doubts are great, and several works are seeking to define the approaches that will pave the way. There are works in the area of performance indicators in the use of AR [12], visualization technologies [13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27], tactile perception technologies [28; 29; 30; 31], how to generate content in AR in an easier way [32; 33; 34], how to structure the environment to access the information [35; 36; 37; 38], among other approaches. In this way, the present article intends to suggest AR approaches to overcome actual problems that this technology is encountering in the industrial domain.