iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1007/978-3-540-69369-7_3
Adaptive Dialogue Management in the NIMITEK Prototype System | SpringerLink
Skip to main content

Adaptive Dialogue Management in the NIMITEK Prototype System

  • Conference paper
Perception in Multimodal Dialogue Systems (PIT 2008)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Batliner, A., Biersack, S., Steidl, S.: The Prosody of Pet Robot Directed Speech: Evidence from Children. In: Proceedings of the 3rd International Conference on Speech Prosody 2006, Dresden, Germany (2006)

    Google Scholar 

  2. Carbonell, J.: Requirements for robust natural language interfaces: the LanguageCraft (TM) and XCALIBUR experiences. In: Proceedings of the COLING 1986, Washington, D.C., USA, pp. 162–163 (1986)

    Google Scholar 

  3. Gnjatović, M., Rösner, D.: Gathering Corpora of Affected Speech in Human-Machine Interaction: Refinement of the Wizard-of-Oz Technique. In: Proceedings of the International Symposium on Linguistic Patterns in Spontaneous Speech (LPSS 2006), pp. 55–66. Academia Sinica, Taipei (2006)

    Google Scholar 

  4. Gnjatović, M., Rösner, D.: An approach to processing of user’ s commands in human-machine interaction. In: Proceedings of the 3rd Language and Technology Conference (LTC 2007), Adam Mickiewicz University, Poznan, Poland, pp. 152–156 (2007a)

    Google Scholar 

  5. Gnjatović, M., Rösner, D.: A Dialogue Strategy for Supporting the User in Spoken Human-Machine Interaction. In: Proceedings of the XII International Conference Speech and Computer (SPECOM 2007), pp. 708–713. Moscow State Linguistic University, Moscow (2007b)

    Google Scholar 

  6. Gnjatović, M., Rösner, D.: Emotion Adaptive Dialogue Management in Human-Machine Interaction. In: Proceedings of the 19th European Meetings on Cybernetics and Systems Research (EMCSR 2008), Austrian Society for Cybernetic Studies, Vienna, Austria, pp. 567–572 (2008a)

    Google Scholar 

  7. Grosz, B., Sidner, C.: Attention, Intentions, and the Structure of Discourse. Computational Linguistics 12(3), 175–204 (1986)

    Google Scholar 

  8. Guindon, R.: How to Interface to Advisory Systems? Users Request Help With a Very Simple Language. In: Proceedings of ACM Conf. on Computer Human Interaction (CHI 1988), Washington, D.C., USA, pp. 191–196 (1988)

    Google Scholar 

  9. Halliday, M.: An Introduction to Functional Grammar, 2nd edn. Edward Arnold, London (1994)

    Google Scholar 

  10. Lee, C.-H.: Fundamentals and Technical Challenges in Automatic Speech Recognition. In: Proceedings of the XII International Conference Speech and Computer (SPECOM 2007), Moscow State Linguistic University, Moscow, Russia, pp. 25–44 (2007)

    Google Scholar 

  11. Luzzati, D.: A Dynamic Dialogue Model for Human-Machine Communication. In: Taylor, M., Néel, F., Bouwhuis, D. (eds.) The Structure of Multimodal Dialoque II, pp. 207–221. John Benjamins Publishing Company, Philadelphia/Amsterdam (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Elisabeth André Laila Dybkjær Wolfgang Minker Heiko Neumann Roberto Pieraccini Michael Weber

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gnjatović, M., Rösner, D. (2008). Adaptive Dialogue Management in the NIMITEK Prototype System. In: André, E., Dybkjær, L., Minker, W., Neumann, H., Pieraccini, R., Weber, M. (eds) Perception in Multimodal Dialogue Systems. PIT 2008. Lecture Notes in Computer Science(), vol 5078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69369-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69369-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69368-0

  • Online ISBN: 978-3-540-69369-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics