We present a concept for the automatic estimation of the effect of newly introduced in-vehicle systems on driver’s gaze behavior by means of executable cognitive driver models. Structure and properties of the complete system are shown. Particular attention is paid to the underlying model of visual attention which is integrated in the cognitive architecture CASCaS. Different alternatives for the operationalization of human expectancy as one influencing factor of visual attention are presented and discussed. Principal applicability of the model is demonstrated on a laboratory four-instrument visual scanning task. First results are briefly discussed. Future steps are outlined.
07 / 2011
ISi-PADAS Integrated Human Modelling and Simulation to support Human Error Analysis of Partially Autonomous Driver Assisatance Systems