The rapid technical development in the market for consumer electronics is responsible for a steadyly increasing number of information and communication devices available within a modern vehicle. Modern information and communication systems within a vehicle are drawing more and more attention of the driver towards secondary tasks. This paper presents a valuable approach to overcome the problem of information overload by introducing an adaptive man-machine interface. In situations with a high mental workload information from secondary tasks like an incoming telephone call will not be presented to the driver. A prototype system was implemented and evaluated in the S.A.N.T.O.S project. The system was tested in a field evaluation experiment with 12 subjects, 6 of who were experienced drivers and 6 of who were novice drivers. When judging what was really achieved in these experiments, it is important to understand and to appreciate that the goal of the reported work was to explore and to demonstrate the possibilities of creating a fiunctional situation-aware vehicle by means of a synthesis of human factors knowledge and state-of-the-art technology. While there is still an overhelming amount of unresolved questions that require in-depth analysis, the SANTOS workload estimator is at least one future step towards producing real-time estimates of workload for drivers in real traffic. Situation-adaptive automotive applications could become a dream come true in the near future if the methods and technology in this area are developed further. An additional necessary prerequisite for this vision is the flawless integration of the new technologies or devices into the man-machine interface of the vehicle.


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