Generating Navigation Information Based on the Driver’s Route Knowledge

نویسندگان

  • Hua Cheng
  • Lawrence Cavedon
  • Robert Dale
چکیده

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 efficient and driver friendly navigation.

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تاریخ انتشار 2004