A cooperative and conversational virtual agent for M-commerce applications
Institute of Electrical and Electronics Engineers Inc.
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.
This 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.
Co-operation strategy, Dialogue manager, M-commerce, M-commerce applications, Mobile applications, Mobile communications, Speech recognition engine, Spoken dialogue, Virtual agent, Electronic commerce, Hidden Markov models, Information technology, Innovation, Management, Managers, Mobile telecommunication systems, Speech recognition
Rekik, 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.2009.5413766