A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents

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 predi...

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Bibliographic Details
Published in:Computational Intelligence and Neuroscience 2016-01, Vol.2016 (2016), p.771-781
Main Authors: Griol, David, Callejas, Zoraida
Format: Article
Language:English
Subjects:
Adaptation
Algorithms
Automatic Data Processing
Communication
Computer Simulation
Design
Dynamical systems
Dynamics
Fuzzy sets
Human-computer interface
Humans
Information dissemination
Intelligence
Intention
Interactive computer systems
Intervention
Mathematical models
Models, Theoretical
Natural language
Neural networks
Neural Networks (Computer)
Proposals
Semantics
Travel
User-Computer Interface
Verbal communication
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Description
Summary: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.
ISSN:1687-5265
1687-5273
DOI:10.1155/2016/8402127