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The use of expert knowledge in the development of simulations for train driver training

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Abstract

The current study was undertaken to inform the development of simulations for improving train driver’s decision making under degraded track conditions. Trains are sophisticated heavy machinery and their performance is ever increasing resulting in the driving task becoming more complex and progressively dominated by cognitive and perceptual skills. A critical part of reducing the potential for train driver error and of increasing performance lies in the appropriate design of simulation training. In the current study a cognitive task analysis, using the critical decision method (CDM) was undertaken using a focus group research design. The process resulted in increased knowledge of expert train driver decision-making processes. Across four major incidents analyzed 11 decision points, 17 cues, 30 essential responsive actions and 45 possible errors where identified. The use of these results for supporting the design of simulation training and associated performance measures is discussed.

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Acknowledgments

The financial support of Railcorp and the Australian Research Council is gratefully acknowledged.

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Authors and Affiliations

  1. Perception and Motor Systems Lab, Level 5 Building 26, The University of Queensland, St Lucia Q 4072, Brisbane, QLD, Australia

    Jennifer G. Tichon

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  1. Jennifer G. Tichon
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Correspondence to Jennifer G. Tichon.

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Tichon, J.G. The use of expert knowledge in the development of simulations for train driver training. Cogn Tech Work 9, 177–187 (2007). https://doi.org/10.1007/s10111-006-0048-6

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  • DOI: https://doi.org/10.1007/s10111-006-0048-6

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