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Principes et architecture pour la personnalisation d'information en interaction homme-machine, application à l'information transport

Published: 27 September 2005 Publication History

Abstract

The personalization of information consists to provide to a user relevant information corresponding to its preferences and its needs. This domain being in constant evolution, the systems delivering personalized information cannot be fixed. We propose PerSyst, a framework based on software agents, being able to be used as support for the design of a Personalization System. PerSyst facilitates the management and the transmission of personalized information in a distributed and a evolutionary system. PerSyst is applied for the personalization of transport information. It is for helping users in their choice of routes, for informing them of the disturbances and for guiding them all along their trip.

References

[1]
1. Anli, A., Grislin-Le Strugeon, E. and Abed, M. A Generic Personalization Tool based on a Multi-Agent Architecture. 11th International Conference On Human-Computer, Universal Access in Human-Computer Interaction, Las Vegas, juillet, 2005.
[2]
2. Anli, A., Petit-Rozé, C. et Grislin-Le Strugeon, E. Plate-forme d'intégration de services personnalisés à base d'agents logiciels. Génie Logiciel, 71, 2004, pp. 34-39.
[3]
3. Asnicar, F.A. and Tasso, C. IfWeb: a Prototype of User Model-Based Intelligent Agent for Document Filtering and Navigation in the World Wide Web. In Proceedings of the workshop « Adaptive Systems and User Modeling on the World Wide Web », Chia Laguna, Sardina, 2-5 June 1997, pp. 3-12.
[4]
4. Boehm, B. W. Software Engineering Economics. Prentice Hall, Englewood Cliffs, 1981.
[5]
5. Calvary, G. Coutaz, J. Thevenin, D. Limbourg, Q. Bouillon, L. Vanderdonckt, J. A unifying reference framework for multi-target user interfaces. Interacting with Computers, 15(3), pp. 289-308, 2003.
[6]
6. Deschaine, L., Brice, R. et Nodine, M. Use of InfoSleuth to Coordinate Information Acquisition, Tracking and Analysis in Complex Applications. In Proceedings of Advanced Simulation Technologies Conference, April, 2000.
[7]
7. Ferber, J. Les systèmes multi-agents : Vers une intelligence collective. InterEditions, Paris, 1995.
[8]
8. Goldberg, A. Smalltalk 80 : The Interactive Programming Environment. Addison-Wesley Publ., 1984.
[9]
9. Höök, K. Steps to take before intelligent user interfaces become real. Interacting with computers, pp. 409-426, 12, 2000.
[10]
10. Kadima, H. and Monfort, V. Les web services : Techniques et outils XML, WSDL, SOAP, UDDI, Rosetta, UML. Dunod, Paris, 2003.
[11]
11. Kobsa, A. and Pohl, W. The User Modeling Shell System BGP-MS. User Modeling and User-Adapted Interaction, Vol. 4, 1995, pp. 59-106.
[12]
12. Kolski, C., Le Strugeon, E. A review of intelligent human-machine interfaces in the light of the ARCH model. International Journal of Human-Computer Interaction, 10 (3), pp. 193-231, 1998.
[13]
13. Kolski C., Petit-Rozé C., Anli A., Abed M., Grislin-Le Strugeon E., Ezzedine H., Trabelsi A. La plasticité vue sous l'angle de la personnalisation ou selon les besoins vis-à-vis de l'information transport. Journées thématiques de l'AS Plasticité du RTP 16 IHM, Namur, Belgique, août, 2004.
[14]
14. Lieberman, H., Fry, C. and Weitzman, L. Exploring the Web with Reconnaissance Agents. In ACM Conference on Human-Computer Interface. ACM Press, August 2001, pp. 69-75.
[15]
15. Lumineau, N. Un tour d'horizon du filtrage collaboratif, Disponible à l'adresse http://www.prism.uvsq.fr/recherche/themes/sial/cnrs /Fichiers/Rapport/TourDHorizonDuFiltrageCollabor atif-LIP6.pdf, 2003.
[16]
16. Odell, J., Van Dyke Parunak, H. and Bauer, B. Extending UML for Agents. AOIS workshop at AAAI 2000.
[17]
17. Oppliger, R. Microsoft .NET Passport and identity management. Information Security Technical Report, Vol 9, Issue 1, January-March 2004, pp. 26-34.
[18]
18. Petit-Rozé, C., Anli, A., Grislin-Le Strugeon, E., Abed, M., Uster, G. et Kolski, C. Système d'Information Transport Personnalisée à base d'agents logiciels. Génie Logiciel, 70, 2004, pp. 29-38.
[19]
19. Routier, J.C., Mathieu, P. and Secq, Y. Dynamic skill learning : A support to agent evolution. In Proceedings of the AISB'01 Symposium on Adaptive Agents and Multi-Agent Systems, 2001, pp. 25-32.
[20]
20. Schneider-Hufschmidt, M., Kühme, T., Malinkowski, U. (Eds.). Adaptive User Interfaces. North Holland, 1993.
[21]
21. Thévenin, D., Coutaz, J. Plasticity of user interfaces: framework and research agenda. In Proceedings of Interact'99 seventh IFIP Conference on Human-Computer Interaction, Edinburgh, Scotland, 1999.
[22]
22. Trousse, B., Jaczynski, M. and Kanawati, R. Using user behavior similarity for recommandation computation : The broadway approach, In Proceedings of the 8th international conference on Human Computer Interaction (HCI'99), 1999, Munich.

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  • (2013)A Generic Method for Personalizing Interactive SystemsHuman‐Computer Interactions in Transport10.1002/9781118601907.ch3(51-91)Online publication date: 24-Jan-2013

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cover image ACM Other conferences
IHM '05: Proceedings of the 17th Conference on l'Interaction Homme-Machine
September 2005
350 pages
ISBN:1595931929
DOI:10.1145/1148550
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2005

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  1. architecture
  2. methodology
  3. multi platform interaction
  4. personalization
  5. software agent

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  • (2013)A Generic Method for Personalizing Interactive SystemsHuman‐Computer Interactions in Transport10.1002/9781118601907.ch3(51-91)Online publication date: 24-Jan-2013

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