We present a multimodal in-vehicle dialogue system which uses learned predictions of user answers to enable shorter, more efficient, and thus safer natural language dialogues. 1 Background 1.1 Driver Distraction
['Staffan Larsson', 'Fredrik Kronlid', 'Pontus Wärnestral']
Safe In-vehicle Dialogue Using Learned Predictions of User Utterances