Driver assistance systems are designed to support a human driver in the driving task. Since drivers are very different, the assistance system must adapt to the driver in order to provide the best support. The driver adaptive assistance systems which are currently designed provide adaptability which is generally done by the driver himself. Some already provide automatical adaptation. One of the key problems is intra-individual difference in behaviour. This is mostly considered as disturbance or

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... overed by short-term models and quick adaptation. What causes intra-individual difference? Emotion is one of the factors in behaviour differences. This makes an emotional component in a driver model a considerable improvement potential for adaptive driver assistance systems. In our research, we investigate a driver model on the basis of the cognitive appraisal model by Orthony, Clore and Collins (OCC) combined with a personality model based on the "Big 5" personality factors. First results are produced in the curvature warning system scenario. The work is based on simulations in which the driver's emotional state is computed by the an emotional driver model. Current experiments provide plausible training data.