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Dominikus Baur, Sebastian Boring, Andreas Butz
Rush: Repeated Recommendations in an Automotive Context
2nd International Workshop on Multimodal Interfaces for Automotive Applications (MIAA) In conjunction with IUI 2010, Hong Kong, China, Feb. 2010 (bib)

With powerful entertainment systems in cars, the growing size of multimedia collections becomes a problem: The requirement of short interaction cycles in order not to distract the driver too much collides with the overhead of navigating thousands of items to create a playlist. We propose to use the rush interaction technique for such scenarios: The system repeatedly generates recommendations based on the users previous choices from which the user is again able to choose and thus allows him to create a personalized playlist without much effort or distraction. In this paper, we present a discussion of this concept in an automotive context.