The primary aim of this paper is to present the implementation of adaptive dialogue management in the NIMITEK prototype spoken dialogue system for supporting users while they solve problems in a graphics system (e.g., the Tower-of-Hanoi puzzle). The central idea is that the system dynamically refines a dialogue strategy according to the current state of the interaction. We analyze a recorded di...

This thesis examines recommendation dialogue, in the context of dialogue strategy design for conversational recommender systems. The purpose of a recommender system is to produce personalized recommendations of potentially useful items from a large space of possible options. In a conversational recommender system, this task is approached by utilizing natural language recommendation dialogue for...

While Spoken Dialogue Systems have gained in importance in recent years, most systems applied in the real world are still static and error-prone. To overcome this, the user is put into the focus of dialogue management. Hence, an approach for adapting the course of the dialogue to Interaction Quality, an objective variant of user satisfaction, is presented in this work. In general, rendering the...

A Spoken Dialogue System’s (SDS’s) dialogue strategy specifies which action it will take depending on its representation of the current dialogue context. Designing it by hand involves anticipating how users will interact with the system, and/or repeated testing and refining, and so can be a difficult, time-consuming task. Since SDSs inevitably make understanding errors, a particularly important...

Current domain specific or task-oriented human-computer dialogue systems are tightly bound with applications. The success of the strategy in one domain often does not ensure the success of the same strategy in other domains. To apply a strategy of one domain to another can be as difficult as exploring in a new domain. We present a spoken dialogue model based on extended Lambek calculus, which a...

This paper proposes a cognitive architecture of an intelligent agent that can have a dialogue with a human agent on health-related topics. This architecture consists of four main components, namely, the Belief Base, the Dialogue Manager, the Task Manager and the Plan Generator. Each component has sub-components that perform a set of tasks for the purpose to enable the agent to be enrolled in a ...

A novel approach for introducing adaptivity to user satisfaction into dialogue management is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue or to handle problematic situations better. In this contribution, the theoretical aspects of rendering the dialogue cycle adaptive are outlined. Furt...

Speech-based human-computer interaction faces several difficult challenges in order to be more widely accepted. One of the challenges in spoken dialogue management is to control the dialogue flow (dialogue strategy) in an efficient and natural way. Dialogue strategies designed by humans are prone to errors, labour-intensive and non-portable, making automatic design an attractive alternative. Pr...

In some dialogue systems, the design of dialogue strategy is bound tightly to the domain by straightforwardly hard-coding the response actions into the system. Such a paradigm is quite easy to build up a prototype system, but makes it difficult to port the system across different domains. This paper presents a domain-transparent design of dialogue management to increase system portability. The ...

Tutorial dialogue has been the subject of increasing attention in recent years, and it has become evident that empirical studies of human-human tutorial dialogue can contribute important insights to the design of computational models of dialogue. This paper reports on a corpus study of human-human tutorial dialogue transpiring in the course of problemsolving in a learning environment for introd...