Adaptive user interfaces for automotive environments

We investigate the use of adaptive user interfaces for in-car information access. These interfaces attempt to efficiently provide content the driver needs and wants, and gather feedback on these preferences through the driver´s interaction with the system. In this way, the performance of the system improves as it unobtrusively builds a more accurate model of the user. The three systems presented here are: the Adaptive Route Advisor for navigation; the Adaptive News Reader for news stories; and the Adaptive Place Advisor for restaurant selection. All of these systems provide useful information to a driver, and we argue that they do not negatively impact safety because they are replacing other less effective, information sources. We intend to test this hypothesis in future studies