title: A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents.
abstract: Spoken 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.
authors.affiliation: Department of Computer Science, Carlos III University of Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain.
authors.forename: David
authors.initials: D
authors.lastname: Griol
authors.affiliation: Department of Languages and Computer Systems, University of Granada, CITIC-UGR, C/ Pdta. Daniel Saucedo Aranda s/n, 18071 Granada, Spain.
authors.forename: Zoraida
authors.identifier: 0000-0001-8891-5237
authors.initials: Z
authors.lastname: Callejas
mesh_terms: D000465:Algorithms; D003142:Communication; D003198:Computer Simulation; D001330:Electronic Data Processing; D006801:Humans; D033182:Intention; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D014195:Travel; D014584:User-Computer Interface
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