Predicting user mental states in spoken dialogue systems

被引：0
|
作者：
Zoraida Callejas
David Griol
Ramón López-Cózar
机构：
[1] CITIC-UGR,Department of Languages and Computer Systems
[2] University of Granada,Department of Computer Science
[3] Carlos III University of Madrid,undefined
来源：
EURASIP Journal on Advances in Signal Processing | / 2011卷
关键词：
Emotion Recognition; User Profile; Dialogue System; Baseline System; User Intention;
D O I：
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学科分类号：
摘要：
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.
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