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A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Griol, David& Callejas, Zoraida. 2015. A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099799
Modern Language Association (MLA)
Griol, David& Callejas, Zoraida. A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099799
American Medical Association (AMA)
Griol, David& Callejas, Zoraida. A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents. Computational Intelligence and Neuroscience. 2015. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099799