We present an indoor navigation system that is based on natural spoken interaction. The system navigates the user through the University of Ulm based on scripts, supporting three different routes and varying communication styles for the system descriptions. Furthermore, the system is able to cope with incomplete scripts and inconclusive situations by passing the dialogue initiative to the user. In order to create the scripts, a data collection has been carried out in which 97 native speakers described the routes with the help of videos. In the end, the system has been evaluated in a user study with 30 participants. The work is part of the research project "MUNGO-Multi-User Indoor Navigation Using Natural Spoken Dialog and Self-learning Ontologies", co-funded by the 2018 Google Faculty Research Award.
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