## 2 Related Work  
In literature, there are many works that quantify the effectiveness of AR for visually presenting technical information and manuals as measured by reduced time and operator error in the fulfillment of procedural task (e.g., [17; 18; 19]). Beyond simply presenting technical information via fixed AR user interface designs, other researchers have looked to increase the utility of AR interfaces by incorporating context-awarefeatures into AR applications. The context can condition the choice of the information content, the style of this content, or both. For example, [PERSON] et al. [12] combined context awareness and mobile augmented reality, proposing CAMAR (Context-Aware Mobile Augmented Reality). CAMAR customizes the content to be preferable to a user according to his/her profile, and to share augmented objects with other mobile users selectively in a customized way. [PERSON] et al. [14] present a state-of-the-art context-aware AR system that considers the effect of context both on the content and the presentation style. They introduced the concept of pervasive augmented reality as a continuous, context-aware augmented reality experience. A goal of this work was to build an AR interface that is actually context-controlled, moving away from the single purpose AR application towards a multipurpose pervasive AR experience. However, their approach is limited to: (i) presenting the concept of pervasive AR; (ii) developing a taxonomy for it; (iii) providing a comprehensive overview of existing AR systems towards their vision of pervasive AR; and; (iv) identifying opportunities for future research. Our work can further this pervasive AR vision by providing a context-aware AR system that adapts well in many possible situations that an operator may encounter in industrial applications. [PERSON] et al. [20] present a software system to assist in the discovery of points of interest for tourists in AR and their description in a way that can match users' interests. Even if the scope of this work is different from ours, the approach is similar in spirit: the automatic choice of the information to display and a customized way of displaying it, both based on the current usage context. [PERSON] et al. [15] define mechanisms for the management of contextual information, reasoning techniques, and adaptable user interfaces to support augmented reality services that provide functionality to make decisions about what available information should be offered and how. The variables taken into account by their system are too abstract in terms of possible applications and user profiling. Furthermore, they do not cover maintenance/assembly tasks. The previous works discussed thus far are not focused on the application of context-aware interfaces to industrial AR. [PERSON] and [PERSON] [21], present an optimized context-aware AR-based framework to assist technicians conducting maintenance tasks. The proposed framework makes use of collected raw context data and performs reasoning on them to obtain new inferred data and to provide adaptive behavior using an ontology. [PERSON] et al. [22] present a system to display information in AR in an industrial context. Their approach implements a general-purpose application capable of applying textual'sticky notes' to real objects, describing them with a semantic notation to be retrieved later. This work is more oriented to dynamic authoring and annotation rather than dynamic management of user interface information and presentation styles. In many related previous works, there is a lack of focus on the field of maintenance and even in these cases just a few user interface assets are used (e.g., text, signs, and symbols). Thus, we applied the lessons learned in these previous studies about the use of AR in an industrial domain, to propose an appropriate behavior of CATIM. We considered the most relevant factors influencing the design of an AR interface in an industrial domain, as well as a wider range of technical information assets with a specific semantic description on when to use them.