Workers in control centers often pay attention to a large amount of information from several sources and must be able to identify, at all times, the system state to, in an emergency, take correct decisions. In this context, this article aims to present a preliminary framework for the development of a virtual reality simulator for the study of control centres in order to prevent Human errors occurrence. It will also be presented an example of the framework use to study the excessive number of alarms in a railway control centres. The paper discuss the next steps of this work, the evaluation of it sensitivity and the usability characteristics of the VR simulator inside to our framework. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Almeida, A., Rebelo, F., & Noriega, P. (2014). Methodological framework for control centres evaluation and optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8520 LNCS, pp. 3–11). Springer Verlag. https://doi.org/10.1007/978-3-319-07638-6_1
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