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De la représentation de l'interlocuteur vers un modèle utilisateur formel pour le dialogue personne-machine

Published: 30 August 2004 Publication History

Abstract

This paper proposes the formalization and implementation of user model. It is based on an interlocutor's model in natural language dialogue system. Experimental studies on interlocutor's representation and, particularly, on user's familiarization with the system were used for the results analyses. The analysis of the results has shown the more the user is familiarized the more he gives relevant information for research in his first utterances, and with the same number of words. The formalization proposed concerns (1) user's expertise or familiarization level, and (2) the detection of this level. The extended user model allows the system to adapt and thus, to contribute to increase usability and its efficiency in the information research processes.

References

[1]
1. Amalberti, R., Carbonnel, N. and Falzon, P. User representations of computer systems in human-computer speech interaction. International Journal of Man-Machine Studies, 38, 1993, pp. 547-566.
[2]
2. Brennan, S. Conversation with and through Computers. User Modeling and User-Adapted Interaction, 1, 1991, pp. 67-86.
[3]
3. Bretier P., La communication orale coopérative : contribution à la modélisation logique et à la mise en œuvre d'un agent rationnel dialoguant, Thèse de doctorat informatique, Universitè de Paris XIII, 1995.
[4]
4. Isaacs E. and Clark H. References in conversation between experts and novices. Journal of Experimental Psychology: General, 2(6) 1987, pp. 26-37.
[5]
5. Falzon, P. Ergonomie Cognitive du Dialogue. Grenoble:Presses Universitaires de Grenoble, 1989.
[6]
6. Fussell, S. R. and Krauss, R.M. Coordination of Knowledge about in Communication: Effects of Speakers' Assumptions About What Others Know. Journal of Personality and Social Psychology, 62(3), 1992, pp. 378-391.
[7]
7. Litman, D. J. and Pan, S. Designing and Evaluating an Adaptive Spoken Dialogue System. User Modeling and User-Adapted Interaction, 12(2-3), 2002, pp. 111-137.
[8]
8. Richards, M. A. and Underwood, K. M. How should people and computers speak to each other? Paper presented at the Human-Computer Interaction - INTERACT'84, London, 1985, 4-7 September.
[9]
9. Sadek D. Attitudes mentales et interaction rationnelle: vers une théorie formelle de la communication. Thèse de doctorat informatique, Université de Rennes I, 1991.
[10]
10. Sadek D. Design considerations on dialogue systems: from theory to technology - the case of Artimis, Proceedings of the ESCA TR Workshop on Interactive Dialogue for Multimodal Systems (IDS'99), invited paper, Germany, 1999.
[11]
11. Sadek D., Bretier P. and Panaget F., Artimis: Natural dialogue meets rational agency, Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI'97), Nagoya, Japan, 1997, pp. 1030-1035.
[12]
12. Searle J.R. Speech acts, Cambridge University Press, 1969.
[13]
13. Thomas, J.C., A method for studying natural language dialogue (Rapport RC 5885). Yorktown Heights, New York: IBM Watson Research Center, 1976.
[14]
14. Whittaker, S., Walker, M. and Moore, J. Fish or Fowl: A Wizard of Oz Evaluation of Dialogue Strategies in the Restaurant Domain. Paper presented at the Language Resources and Evaluation Conference, Spain, 2002.
[15]
15. Zoltan-Ford, E. How to get people to say and type what computers can understand. International of Journal Man-Machine Studies, 34, 1991, pp. 527-547.

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cover image ACM Conferences
IHM '04: Proceedings of the 16th Conference on l'Interaction Homme-Machine
August 2004
266 pages
ISBN:1581139268
DOI:10.1145/1148613
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • ASTI: Association française pour les Sciences et Technologies de l'Information
  • Société d'Ergonomie de Langue Franç aise
  • Communauté Française de Belgique
  • FNRS: Fonds National de la Recherche Scientifique
  • AFIHM: Ass. Francophone d'Interaction Homme-Machine
  • Facultés Universitaires Notre-Dame de la Paix
  • SIGCHI: ACM Special Interest Group on Computer-Human Interaction
  • INRIA: Institut Natl de Recherche en Info et en Automatique

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 August 2004

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Author Tags

  1. dialogue
  2. interlocutor model
  3. natural language
  4. user model

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