Abstract
A dialogue algorithm is described that executes Prolog-style rules in an attempt to achieve a goal. The algorithm selects paths in the proof in an attempt to achieve success and proves subgoals on the basis of internally available information where possible. Where “missing axioms” are discovered, the algorithm interacts with the user to solve subgoals, and it uses the received information from the user to attempt to complete the proof. A multimedia grammar codes messages sent to and received from the user into a combination of speech, text, and voice tokens. This theory is the result of a series of dialog projects implemented in our laboratory. These will be described including statistics that measure their levels of success.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
J. Allen, S. Guez, L. Hoebel, E. Hinkelman, K. Jackson, A. Kyburg, and D. Traum. The discourse system project. Technical Report 317, University of Rochester, 1989.
J. F. Allen and C. R. Perrault. Analyzing intention in dialogues. Artificial Intelligence, 15(3):143–178, 1980.
J. F. Allen, L. K. Schubert, G. Ferguson, P. Heeman, C. H. Hwang, T. Kato, M. Light, N. G. Martin, B. W. Miller, M. Poesio, and D. R. Traum. The TRAINS project: A case study in building a conversational planning agent. Journal of Experimental and Theoretical AI, 7:7–48, 1995.
S.K. Feiner and K.R. McKeown. Coordinating text and graphics in explanation generation. In Proceedings of the 8th National Conference on Artficial Intelligence, volume I, pages 442–449. AAAI Press/The MIT Press, 1990.
Barbara J. Grosz and Candace L. Sidner. Attention, intentions, and the structure of discourse. Computational Linguistics, 12(3):175–204, Sep 1986.
Curry I. Guinn. Meta-Dialogue Behaviors: Improving the Efficiency of Human-Machine Dialogue-A Computational Model of Variable Inititive and Negotiation in Collaborative Problem-Solving. PhD thesis, Duke University, 1995.
Alfred Kobsa and Wolfgang Wahlster, editors. User Models in Dialog Systems. Springer-Verlag, Berlin, 1989.
M.T. Maybury, editor. Intelligent Multimedia Interfaces. AAAI/MIT Press, 1993.
R. Reichman. Getting computers to talk like you and me. The MIT Press, Cambridge, Mass., 1985.
Ronnie W. Smith and D. Richard Hipp. Spoken Natural Language Dialog Systems: A Practical Approach. Oxford University Press, 1994.
Ronnie W. Smith, D. Richard Hipp, and Alan W. Biermann. An arctitecture for voice dialog systems based on prolog-style theorem proving. Computational Linguistics, 21(3):281–320, September 1995.
Etienne Wenger. Artificial Intelligence and Tutoring Systems. Morgan Kaufmann Publishers, Inc., Los Altos, CA, 1987.
S. R. Young, A. G. Hauptmann, W. H. Ward, E. T. Smith, and P. Werner. High level knowledge sources in usable speech recognition systems. Communications of the ACM, pages 183–194, August 1989.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Biermann, A.W. et al. (1997). Goal-oriented multimedia dialogue with variable initiative. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1997. Lecture Notes in Computer Science, vol 1325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63614-5_1
Download citation
DOI: https://doi.org/10.1007/3-540-63614-5_1
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63614-4
Online ISBN: 978-3-540-69612-4
eBook Packages: Springer Book Archive