The invention regards a method for assisting a driver of a vehicle by computationally predicting a future movement behavior of a target vehicle. The method comprises steps of acquiring data describing a traffic environment of a host vehicle, computing a plurality of future movement behavior alternatives for a target vehicle, by predicting movement behavior of the target vehicle based on the data describing the traffic environment. The prediction step calculates a probability that the target object will execute a movement behavior and information relating to future behavior of the target vehicle is output. The method estimates a global scene context and adapts the predicted behavior based on the estimated global scene context. The adaptation of the behavior prediction is performed by at least one of adapting indicator values in situation models employed by a context-based prediction, by adapting a result of the context-based prediction and adapting the overall prediction result.