A multi-level goal model for decision-making in UAS visual inspections in construction and infrastructure projects
Many studies have discussed unmanned aircraft system (UAS) applications for infrastructure conditions and construction project inspections. However, the industry currently faces significant challenges that hinder the use of this technology. UAS operational procedure is disjointed with regard to the inspection decision-making process. Moreover, training those responsible for UAS operations requires a great deal of time and cost. This study documents the job responsibilities and establishes goals for UAS operators in the construction and infrastructure domains through the use of goal-directed cognitive task analysis (GCTA). GCTA has been proven essential to enhancing training efficiency by revealing necessary areas of augmentation of information requirements related to UAS operation, such as situation awareness and decision criteria. The main goal of this study is to provide a better understanding of the task responsibilities and multilevel goals for operating a UAS. The findings of this study include three key personnel identified, their task domains, goals, and decision criteria, and situation awareness (SA) requirements. In the end, this study also instigates extensive discussion of the conceptual goal-directed decision-making process to support the realization of the goals of UAS applications. This study will help to enhance training performance and align UAS operational procedures and decision-making related to inspection tasks in the construction and infrastructure project environments.