Wortelen, Bertram; Lüdtke, Andreas
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.
Digital Human Modeling
English
2011
LNCS
523-532
Vincent G. Duffy
Springer
3642217982, 9783642217982
HCI International