Crowdsourcing Street-level Geographic Information Using a Spoken Dialogue System

摘要

We present a technique for crowdsourcing street-level geographic information using spoken natural language. In particular, we are interested in obtaining first-person-view information about what can be seen from different positions in the city. This information can then for example be used for pedestrian routing services. The approach has been tested in the lab using a fully implemented spoken dialogue system, and has shown promising results.