Overview
- Offers a comprehensive analysis of multimodal communication, based in part on the most extensively annotated corpus of dialogues (HuComTech)
- Captures the temporal patterns of behavior using the T-pattern analysis extended to a broad variety of communicative data
- Gathers contributions from psychologists, communication scientists, information scientists and linguists, with all the benefits of interdisciplinarity
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 164)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
-
Front Matter
-
Theoretical Overview of Multimodal Communication
-
Front Matter
-
-
Methods of Observation
-
Front Matter
-
-
Towards Application: Approches to the Study of a Large Multimodal Corpus
-
Front Matter
-
Keywords
About this book
The general focus of this book is on multimodal communication, which captures the temporal patterns of behavior in various dialogue settings. After an overview of current theoretical models of verbal and nonverbal communication cues, it presents studies on a range of related topics: paraverbal behavior patterns in the classroom setting; a proposed optimal methodology for conversational analysis; a study of time and mood at work; an experiment on the dynamics of multimodal interaction from the observer’s perspective; formal cues of uncertainty in conversation; how machines can know we understand them; and detecting topic changes using neural network techniques. A joint work bringing together psychologists, communication scientists, information scientists and linguists, the book will be of interest to those working on a wide range of applications from industry to home, and from health to security, with the main goals of revealing, embedding and implementing a rich spectrum of information on human behavior.
Editors and Affiliations
Bibliographic Information
Book Title: The Temporal Structure of Multimodal Communication
Book Subtitle: Theory, Methods and Applications
Editors: Laszlo Hunyadi, István Szekrényes
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-22895-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-22894-1Published: 05 August 2019
Softcover ISBN: 978-3-030-22897-2Published: 14 August 2020
eBook ISBN: 978-3-030-22895-8Published: 24 July 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 162
Number of Illustrations: 14 b/w illustrations, 19 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Computational Linguistics, Cognitive Psychology