Adapting In-Vehicle Voice Output: A User- and Situation-Adaptive Approach

Daniela Stier, Ulrich Heid, Wolfgang Minker

Abstract: There is a current trend towards natural, adaptive in-vehicle spoken dialogue systems which react flexibly to the individual requirements of a driver or the driving situation. They aim to provide the driver with the most efficient form of interaction and to thereby reduce his cognitive load. Studies show that even the syntactic form of system output has an influence on the driver and his driving performance. Against this background, in this paper we present our user-centered approach for a user- and situation-adaptive strategy for the syntactic design of voice output. Based on the collected data of two user studies, we combine the two aspects of speech production and perception and compare actual language behaviour with syntactic preferences. The resulting strategy will be evaluated and elaborate further in future user studies.