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. © 2014 Association for Computational Linguistics
Funding: This work was carried out within the FFI project “Safe Speech by Knowledge” (2012-00941), funded by VINNOVA, Volvo Car Corporation and Talkamatic.