Paper: A Natural Language Instructor for pedestrian navigation based in generation by selection

ACL ID W14-0205
Title A Natural Language Instructor for pedestrian navigation based in generation by selection
Venue EACL Workshop on Dialogue in Motion
Session
Year 2014
Authors

In this paper we describe a method for developing a virtual instructor for pedes- trian navigation based on real interactions between a human instructor and a human pedestrian. A virtual instructor is an agent capable of fulfilling the role of a human instructor, and its goal is to assist a pedes- trian in the accomplishment of different tasks within the context of a real city. The instructor decides what to say using a generation by selection algorithm, based on a corpus of real interactions generated within the world of interest. The instructor is able to react to different requests by the pedestrian. It is also aware of the pedes- trian position with a certain degree of un- certainty, and it can use different city land- marks to guide him.