Railways are recognized the world over for the vital social and economic role they play. However, in recent years their financial and economic performance has been criticized because of inefficiencies and increasing operating costs. In order to keep pace with changing business paradigms, railways across the world need more and better technology, higher capacity, better punctuality and reliability and more sustainable asset management to improve efficiency and reduce cost. Augmented Reality (AR) is a technology that could ease execution of complex operations, and assist railways in meeting their business objectives. AR mixes virtual and actual reality by supplementing a view of the real world with added computer generated sensory inputs in the form of graphics, video, sound and location data. AR provides the user with new tools to improve efficiency in the transfer of knowledge for several processes, from multiple sources and in several environments 0. Technological developments such as AR generate the need for thorough investigation of human factors throughout the lifecycle of the system. Design, implementation and operation of any new systems in the railway environment will generate a host of new human-related problems and successes that will require fundamental and applied understanding 0. Therefore, in order to fully understand the human factors risks associated with using AR in the operational railway environment, a set of Human-Computer Interaction (HCI) design frameworks for railway AR applications was established.
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