Generating Navigation Information Based on the Driver's Route Knowledge
Hua Nong Cheng, Lawrence Cavedon, Robert Dale · 2004
This paper targets the content selection problem in generating appropriate information in the domain of in-car navigation. It describes an algorithm that models driver's knowledge about roads and routes and uses this knowledge to tailor turn-by-turn instructions from a commercial routing service to those more suitable to the individual driver's background. This content selection component is one part of a domain independent generation system of a general purpose dialogue system toolkit. We claim that this type of adaptive generation facilitates more e#cient and driver friendly navigation.