Predicting user mental states in spoken dialogue systems

In this paper we propose a method for predicting the user mental state for the development of more efficient and usable spoken dialogue systems. This prediction, carried out for each user turn in the dialogue, makes it possible to adapt the system dynamically to the user needs. The mental state is b...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2011-05, Vol.2011 (1), p.1-21, Article 6
Main Authors: Callejas, Zoraida, Griol, David, López-Cózar, Ramón
Format: Article
Language:English
Subjects:
Architecture
Dynamical systems
Dynamics
Emotion and Mental State Recognition from Speech
Engineering
Management
Performance enhancement
Quantum Information Technology
Recognition
Signal processing
Signal,Image and Speech Processing
Simulation
Spintronics
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Summary:In this paper we propose a method for predicting the user mental state for the development of more efficient and usable spoken dialogue systems. This prediction, carried out for each user turn in the dialogue, makes it possible to adapt the system dynamically to the user needs. The mental state is built on the basis of the emotional state of the user and their intention, and is recognized by means of a module conceived as an intermediate phase between natural language understanding and the dialogue management in the architecture of the systems. We have implemented the method in the UAH system, for which the evaluation results with both simulated and real users show that taking into account the user's mental state improves system performance as well as its perceived quality.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/1687-6180-2011-6