Abstract
Over the past ten a number of studies have been conducted to understand the way in which rail signalling operations are completed. This paper reviews some of the themes that have emerged from this body of work and considers two principal questions - firstly, how should we apply human factors methods to develop our understanding of the impact of automation and secondly, how can we link the data we have collected from the rail work to theoretical concepts that will help us to design future automation systems? © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Sharples, S., Balfe, N., Golightly, D., & Millen, L. (2009). Understanding the impact of rail automation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5639 LNAI, pp. 590–599). https://doi.org/10.1007/978-3-642-02728-4_63
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