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Constructive Dialogue Modelling: Speech Interaction and Rational Agents

TLDR
Dialogue Modelling: Speech Interaction and Rational Agents provides an overview of the current dialogue technology and research trends in spoken dialogue systems, presenting a coherent perspective of AI-based cooperative interaction management and delivers a new metaphor for human-computer interaction and computer as agent.
Abstract
Dialogue management technology has developed rapidly over the years resulting in real-time applications like telephony directories, timetable enquiries, and in-car applications However, the current technology is still largely based on models that use rigid command language type interactions, and the users need to adapt their human communication strategies to the needs of the technology As an increasing number of interactive ubiquitous applications will appear, challenges for interaction technology concern especially natural, more human-friendly communication Recent research has focused on developing speech-based interactive systems that aim to increase the systems communicative competence By including aspects of interaction beyond simple speech recognition and question-answer based interaction, applications with more conversational interfaces have become possible New dialogue management technology needs to address the challenges in human-technology interaction, so that smart environments should not only enable user-controlled command interfaces but equip applications with a capability that affords easy and friendly interactions with the user Dialogue Modelling: Speech Interaction and Rational Agents provides an overview of the current dialogue technology and research trends in spoken dialogue systems, presenting a coherent perspective of AI-based cooperative interaction management The book complements existing research regarding human-computer interfaces, speech and language technology, and communication studies in general, bringing different view-points together and integrating them into a single point of reference Constructive Dialogue Modelling: Presents a guide to spoken dialogue technology and current research trends Provides an overview of human factors in dialogue systems and delivers a new metaphor for human-computer interaction and computer as agent Explains the architecture of dialogue systems using examples from systems such as Interact and DUMAS Offers a comprehensive overview of original research into the new trends in speech dialogue technology in light of innovations such as ubiquitous computing This book will provide essential reading for industrial designers and interface engineers, university researchers and teachers, computer scientists, human communication researchers, speech and language technologists, cognitive engineers/cognitive scientists, as well as social and media researchers, and psychologists Advanced students and researchers in computer science, speech and language technologies, psychology and communication research will find this text of interest

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Synthesis Lectures on Human Language Technologies

TL;DR: This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems and presents dialogue modelling and system development issues relevant in both academic and industrial environments and also discusses requirements and challenges for advanced interaction management and future research.
Journal ArticleDOI

Gaze and turn-taking behavior in casual conversational interactions

TL;DR: The results confirm the earlier hypothesis that eye gaze significantly helps in predicting the partner's turn taking activity, and get supporting evidence for the hypothesis that the speaker is a prominent coordinator of the interaction space.
Book ChapterDOI

Multimodal Open-Domain Conversations with the Nao Robot

TL;DR: The WikiTalk application is used, an open-domain conversational system which has been previously developed using a robotics simulator, to describe how it can be implemented on the Nao robot platform, enabling Nao to make informative spoken contributions on a wide range of topics during conversation.
Dissertation

Modelling a conversational agent (Botocrates) for promoting critical thinking and argumentation skills

TL;DR: This article investigated the use of a conversational agent (Botocrates) for supporting critical thinking and academic argumentation skills in higher education, and identified two main tasks of Botocrates: providing answers to students' enquiries and engaging students in the argumentation process.
Journal ArticleDOI

A hybrid approach to dialogue management based on probabilistic rules

TL;DR: Results of a user evaluation in a human-robot interaction task with 37 participants show that a dialogue manager structured with probabilistic rules outperforms both purely hand-crafted and purely statistical methods on a range of subjective and objective quality metrics.
Related Papers (5)