A taxonomy of tasks in dam cracks surveillance for augmented reality application

Augmented reality is an advanced computational visualization technology that alters how users in the real world can perceive the virtual information. The use of this technology for EAC/FM is being widely investigated. In the scope of dam safety, the constant analysis of concrete behavior is mandatory, searching for clues of pathologies such as cracks. Cracks are relatively common in concrete structures, nevertheless they need to be surveilled due to the risks they offer. The surveillance of cracks involves exhaustive tasks, and for dams, it consists in the execution of a set of complex tasks that demands access to accumulated data and information. Augmented reality can contribute with the visualization process of this information, diminishing the mental workload demand. This paper defines a hierarchical taxonomy of the tasks that are needed in this domain, using Berliner´s taxonomy to classify the tasks, enhancing the understanding of the points where the augmented reality can be used with better results.