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Drivers play an important role on road traffic. Traffic frequently has a big impact on drivers’ emotions and drivers’ emotions have a big impact on traffic. Traffic congestions may be the cause of human drivers’ frustration, loss of their patience and control, leading to aggressiveness and so on. On the other hand, drivers’ aggressiveness may cause dangerous driving, car accidents and drivers’ fighting. This results in an endless loop of traffic problems that is propagating along many drivers. However, even excessive enjoyment may also lead to dangerous driving, since people may underestimate the road dangers and drive carelessly. Thus, it is very important to aim at keeping drivers calm, happy and alert when they drive. In view of this, it would be extremely useful to extend the functionalities of existing GPSs to include user modelling and emotion recognition abilities so that they may provide spontaneous assistance that would be dynamically generated based on the results of the user modelling and emotion recognition module. The action of GPSs would be to provide automatic recommendation to drivers that would be compatible with their own preferences concerning alternative routes and make them feel happier and calmer.

User Modelling and Emotion Recognition of Drivers through a Multi-modal GPS Interface