The driving environment of today’s cars has become increasingly complex and raises the needs on the interaction design. Also, secondary tasks are more frequently carried out by the driver. The secondary tasks consist of smartphone use and use of other technologies, which adds to distraction, which causes an increased risk for accidents. To design interactions which helps the user to become less distracted and to create a driving environment where the driver can keep her hands on the wheel and her eyes on the road becomes an important task. The objective of this project is to design, implement and test a multimodal, adaptive dialogue system in order to reduce the time spent on the interaction, which in turn reduces the distraction and increase the safety in the driving environment. The project also aims at building knowledge about how predictive models can be used in order to design spoken interaction with a high user experience ca be reached. The project has been carried out in three steps: analysis, user study and implementation and has resulted in a working impleentation which reduces the dialogue based on the user’s driving behaviour. The system also reduces the number of repetitive questions from the system, which according to the user study of the project not only reduces the time of interaction, but also contributes to a positive user experience for the driver. Also, the user study has resulted in a set of user-centered design principles for spiken adaptive interaction, which can be used for future development projects. Finally, a method of user testing optimised for rapid prototyping of in-vehicle spoken interaction has been created during the project.