This paper describes a dialogue manager and its interaction with semantics and context tracking in a spoken dialogue system developed for general information retrieval and transaction applications. The dialogue system supports the following basic functionality: electronic form filling, database query, result navigation, attribute-value pair referencing, and value and reference resolution. Gener...

We describe an experimental Wizard-of-Oz-setup for the integration of emotional strategies into spoken dialogue management. With this setup we seek to evaluate different approaches to emotional dialogue strategies in human computer interaction with a spoken dialogue system. The study aims to analyse what kinds of emotional strategies work best in spoken dialogue management especially facing the...

This paper describes MIMIC, an adaptive mixed initiative spoken dialogue system that provides movie showtime information. MIMIC improves upon previous dialogue systems in two respects. First, it employs initiative-oriented strategy adaptation to automatically adapt response generation strategies based on the cumulative effect of information dynamically extracted from user utterances during the ...

This paper will briefly introduce MSDSKIT-1 (Multilingual Spoken Dialogue System Version 1.0 developed by Kyoto Institute of Technology) which integrates Japanese and Chinese now. It is a promotion vision of the SDSKIT-3 (Spoken Dialogue System in Japanese). This system can provide services such as sight-seeing introduction, traffic guidance, hotel reservation. A user can also plan his itinerar...

We have developed a complete spoken dialogue framework that includes rule-based and trainable dialogue managers, speech recognition, spoken language understanding and generation modules, and a comprehensive web visualization interface. We present a spoken dialogue system based on Reinforcement Learning that goes beyond standard rule based models and computes on-line decisions of the best dialog...

This paper describes the design of a multimodal spoken dialogue system using Markov Decision Processes (MDPs) to enable embodied conversational virtual health coach agents to deliver brief interventions for lifestyle behavior change in particular excessive alcohol consumption. Its contribution is two fold. First, it is the first attempt to-date to study stochastic dialogue policy optimization t...

Most of the research on spoken dialogue systems so far has focused either on higher levels of dialogue or on speech understanding. In contrast, the lowlevel interactional aspects of conversation such as turn-taking have been essentially ignored, leading builders of practical systems to resort to simple pause detection-based methods to handle turn-taking. In a preliminary study based on the Let’...

Spoken dialogue technology has emerged over the past decade as a challenging area for researchers in artificial intelligence, speech and language processing, and humancomputer interaction. At the same time a number of leading players in the computing industry have been looking seriously at the commercial potential of interactive spoken and multimodal systems. This paper considers the challenges...

In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its application in spoken dialogue systems. Review summarization, when applied to real dialogue systems, is much more complicated than pure text-based summarization. We conduct a systematic study on dialogue-system-oriented review a...

This paper presents a new method for understanding utterances in spoken dialogue. The method is characterized by an understanding rule that accepts an utterance sequence in which each utterance has its own speaker identifier. This new idea enables the speech understanding system to understand a dialogue composed of sequences of short phrases each possibly uttered by different speakers. The meth...