Griol Barres, DavidCallejas, Zoraida2023-10-242023-10-242016-12Griol, D., & Callejas, Z. (2016). A neural network approach to intention modeling for User-Adapted Conversational Agents. Computational Intelligence and Neuroscience, 2016:8402127, 1-11.1687-5265https://hdl.handle.net/10016/38671Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's intention during the dialogue and uses this prediction to dynamically adapt the dialogue model of the system taking into consideration the user's needs and preferences. We have evaluated our proposal to develop a user-adapted spoken dialogue system that facilitates tourist information and services and provide a detailed discussion of the positive influence of our proposal in the success of the interaction, the information and services provided, and the quality perceived by the users.11eng© 2016 David Griol and Zoraida Callejas.Atribución 3.0 EspañaDialogue managementSystemSpeechRecognitionInformationStrategiesFeaturesDesignresearch articleInformáticaTelecomunicacioneshttps://doi.org/10.1155/2016/8402127open access1840212711Computational Intelligence and Neuroscience2016AR/0000017703