A tractable DDN-POMDP Approach to Affective Dialogue Modeling for General Probabilistic Frame-based Dialogue Systems
A tractable DDN-POMDP Approach to Affective Dialogue Modeling for General Probabilistic Frame-based Dialogue Systems
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发表时间：
2007-01
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通讯作者：
Trung H. Bui;M. Poel;A. Nijholt;J. Zwiers
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作者：
Trung H. Bui;M. Poel;A. Nijholt;J. Zwiers
我们提出了一种新的方法来开发一个听话的情感对话模型一般概率框架为基础的对话系统。对话模型基于部分可观测马尔可夫决策过程（POMDP）和动态决策网络（DDN）技术，由时隙级对话管理器和全局对话管理器两部分组成。我们实现的对话管理器原型可以处理数百个插槽;每个插槽可能有许多值。插槽级别的对话管理器（1插槽的情况下）的第一次评估表明，95%的置信水平的DDN-POMDP对话策略优于三个简单的手工制作的对话策略时，用户的动作错误引起的压力。
We propose a new approach to developing a tractable affective dialogue model for general probabilistic frame-based dialogue systems. The dialogue model, based on the Partially Observable Markov Decision Process (POMDP) and the Dynamic Decision Network (DDN) techniques, is composed of two main parts, the slot level dialogue manager and the global dialogue manager. Our implemented dialogue manager prototype can handle hundreds of slots; each slot might have many values. A first evaluation of the slot level dialogue manager (1-slot case) showed that with a 95% confidence level the DDN-POMDP dialogue strategy outperforms three simple handcrafted dialogue strategies when the user's action error is induced by stress.