In the present study, we applied the 4C/ID model to the hazard perception domain and investigated the effectiveness of two of its components. A computer-based learning environment with animated traffic scenarios and supportive and procedural information was developed. We employed a 2 by 2 factorial design with the between-subjects factors supportive and procedural information. The results indicate that the two information types seem to foster different components of hazard perception performance: either speed or accuracy.
CITATION STYLE
Hilz, J., Malone, S., & Brünken, R. (2018). Different learning conditions and their impact on hazard perception training. In Advances in Intelligent Systems and Computing (Vol. 597, pp. 282–288). Springer Verlag. https://doi.org/10.1007/978-3-319-60441-1_28
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