RT Journal Article
T1 A neural network approach to intention modeling for user-adapted conversational agents
A1 Griol Barres, David
A1 Callejas, Zoraida
AB 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.
PB Hindawi
SN 1687-5265
YR 2016
FD 2016-12
LK https://hdl.handle.net/10016/38671
UL https://hdl.handle.net/10016/38671
LA eng
DS e-Archivo
RD 17 jul. 2024