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Abstract

The primary aim of this paper is to present the implementation of adaptive dialogue management in the NIMITEK prototype spoken dialogue system for supporting users while they solve problems in a graphics system (e.g., the Tower-of-Hanoi puzzle). The central idea is that the system dynamically refines a dialogue strategy according to the current state of the interaction. We analyze a recorded dialogue between the user and the prototype system that took place during the testing of the system. It illustrates several points of the implemented dialogue strategy: processing of user’s commands, supporting the user, and multilingual working mode.

Keywords

Automatic Speech Recognition Arise Model Focus Tree Evaluation Unit Dialogue Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Milan Gnjatović
    • 1
  • Dietmar Rösner
    • 1
  1. 1.Department of Knowledge Processing and Language EngineeringOtto-von-Guericke-University MagdeburgMagdeburgGermany

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