A new approach of a context-adaptive search agent for automotive environments.

The progress in electronic devices and therefore the growing amount of information in cars implicates the development of new strategies to cope with this amount of information for drivers. An intelligent search agent can help with navigation in deep hierarchies and in huge databases, and consequently has a high potential to increase the concentration on the primary driving task. The evaluation shows that a search agent concept reached a high user acceptance and the objective data proved observably acceleration in handling compared to deep hierarchical menu navigation.