Rekik, SiwarSelouani, Sid-AhmedHamam, Habib2020-01-302020-01-3020092009Rekik, S., Selouanr, S.-A., & Hamam, H. (2009). A cooperative and conversational virtual agent for M-commerce applications. In 2009 International Conference on Innovations in Information Technology, IIT ’09 (pp. 180–184). https://doi.org/10.1109/IIT.2009.54137669781424456987http://dx.doi.org/10.1109/IIT.2009.5413766https://hdl.handle.net/20.500.12519/94This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2009 International Conference on Innovations in Information Technology (IIT) (2009), available online at: https://doi.org/10.1109/IIT.2009.5413766.The aim of this paper is to present a cooperative approach to improve the Human-System spoken dialogues. The main advantage of the proposed approach is its ability to reach both of the user and the system goals more efficiently. The strategy that underlines our system is well adapted to the mobile applications since it involves effective spoken exchanges to reach the users' and system mutual goals. The proposed fram ework is built in order to use the Hidden Markov Models (HMMs) based CMU-Sphinx speech recognition engine f or mobile communications. To evaluate our approach a case-study in the M-trading field is considered. The analysis of the case study shows the efficiency ofour strategy in comparison with the usual ones. ©2009 IEEE.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Co-operation strategyDialogue managerM-commerceM-commerce applicationsMobile applicationsMobile communicationsSpeech recognition engineSpoken dialogueVirtual agentElectronic commerceHidden Markov modelsInformation technologyInnovationManagementManagersMobile telecommunication systemsSpeech recognitionA cooperative and conversational virtual agent for M-commerce applicationsConference PaperCopyright : 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.