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Emotion Adaptive Dialogue Management in Human-Machine Interaction

Although we witness the rapid increase of research interest in affected user behavior, it still turns out to be a challenge for developers of spoken dialogue systems. Researches in this domain are usually primarily concentrated on the detection of emotional user behavior. However, less attention is devoted to another important research question—how to enable dialogue systems to overcome problems in the interaction related to affected user behavior. This paper addresses this research question. The aim of this paper is twofold. First, it introduces an approach to achieve emotion adaptive dialogue management in human-machine interaction. The focal point of this approach is placed on dynamic definition of appropriate dialogue strategies aimed to support the user to overcome problems occurring in the interaction. Second, this paper reports the implementation of a dialogue management module incorporated in the NIMITEK prototype spoken dialogue system.

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