This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

In this paper, we describe RavenClaw, a plan-based, task-independent dialog management
framework. RavenClaw isolates the domain-specific aspects of the dialog control logic from …

This paper develops a Stated Preference (SP) experiment that provides a way to measure
service quality in public transport. The paper introduces an empirical procedure for …

The past decade has seen a revolution in the field of spoken dialogue systems. As in other
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …

Conversational information retrieval is a relatively new and fast-developing research area,
but conversation itself has been well studied for decades. Researchers have analysed …

Augmented reality applications merge virtual content with the real world, with real-time
interaction and they have inherent characteristic, such as the lighting conditions, use of …

Much work remains to be done with subjective evaluations of speech-based and multimodal
systems. In particular, user experience is still hard to evaluate. SUXES is an evaluation …

In this paper the importance of service quality attributes for public transport is estabilished by
Importance Value calculation. Attribute weights (IV) are calculated by a specific empirical …

In the present paper, we investigate the validity and reliability of de-facto evaluation
standards, defined for measuring or predicting the quality of the interaction with spoken …

One of the most important and persistent problems in the development of conversational
spoken language interfaces is their lack of robustness when confronted with understanding …