The paper aims to investigate the reasons why Augmented Reality (AR) has not fully broken the industrial market yet, or found a wider application in industries. The main research question the paper tries to answer is: what are the factors (and to what extent) that are limiting AR? Firstly, a reflection on the state of art of AR applications in industries is proposed, to discover the sectors more commonly chosen for deploying the technology so far. Later, based on a survey conducted after that, three AR applications have been tested on manufacturing, automotive, and railway sectors, and the paper pinpoints key aspects that are conditioning its embedding in the daily working life. In order to compare whether the perception of employees from railway, automotive, and manufacturing sectors differs significantly, a one-way analysis of variance (ANOVA) has been used. Later, suggestions are formulated in order to improve these aspects in the industry world. Finally, the paper indicates the main conclusions, highlighting possible future researches to start.
Systems integration is a major challenge across many disciplines, with a large number of technical, project, organisational or environmental problems occurring as a result of improper integration. This article highlights the scope of the challenges facing systems integration and explains why it requires the incorporation of both technical and non-technical domains. Humans, systems and the environment, as well as the interactions among them, significantly contribute to the proper integration of systems. These, however, have been formulated differently across different engineering disciplines. For example, systems engineering considers the human to be part of the system, while railway engineering considers the human to be part of the system environment. This paper explores the fundamentals of integration and lays a theoretical foundation for the integration of systems. It will introduce Safety Cube theory to outline these fundamental aspects of system integration. Example applications are provided at the end of the paper.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.