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Abstract

Successful human systems integration demands early involvement of human factors professionals, using a range of model-based analysis and assessment methods. Typically these rely on task analysis data supported by various algorithms that provide measures of performance quality. This paper reports on a validation study with one such method, for cognitive task analysis of skilled operator performance, task performance time estimation, workload assessment, and human error analysis. This was used to model train drivers' response to route features and derive performance time and workload estimates. The modelled scenarios were run in a cab simulator with N=17 driver subjects. Observational data were used to compare their strategy, performance times and workload profiles against predictions. The results show that the method produces data that are a useful approximation of real performance strategy, timings and workload.

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Cognitive Task Analysis and Performance Modelling for Early Human Systems Integration

Abstract

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