Editors:
- Takes an interdisciplinary approach toward conflict and negotiation, taking into account the adoption of machine intelligence approaches to automatically understand and measure conflict and negotiation processes
- Surveys current work in social signal processing and affective computing towards the prediction of conflict outcomes
- Approaches conflict and negotiation from several perspectives, including those of cognitive sciences, social psychology, evolution, and ethology
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (21 chapters)
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Front Matter
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Theoretical Approaches to Conflict
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Front Matter
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Communication of Aggression and Aggressive Communication
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Front Matter
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Emotions and Multimodal Communication in Conflict
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Front Matter
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About this book
This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication—both verbal and non-verbal, within the context of a conflict—is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to manage it, in order to support the negotiation process. Particular attention is paid to the integration of human sciences findings with computational approaches, from the application of correct methodologies for the collection of valid data to the development of computational approaches inspired by research on verbal and multimodal communication.
In the words of the trade unionist Pierre Carniti, "We should reevaluate conflict, since without conflict there is no social justice."
With this in mind, this volume does not approach conflict simply as an obstacle to be overcome, but as a concept to be fully analyzed. The philosophical, linguistic and psychological aspects of conflict, once understood, can be used to promote conflict management as a means for change and social justice.
Editors and Affiliations
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Uninettuno University, Roma, Italy
Francesca D'Errico
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Università Roma Tre, Roma, Italy
Isabella Poggi
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Department of Computing Science, University of Glasgow, Glasgow, United Kingdom
Alessandro Vinciarelli
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Department of Education Sciences, Università di Macerata, Roma, Italy
Laura Vincze
Bibliographic Information
Book Title: Conflict and Multimodal Communication
Book Subtitle: Social Research and Machine Intelligence
Editors: Francesca D'Errico, Isabella Poggi, Alessandro Vinciarelli, Laura Vincze
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-319-14081-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14080-3Published: 30 March 2015
Softcover ISBN: 978-3-319-37717-9Published: 06 October 2016
eBook ISBN: 978-3-319-14081-0Published: 17 March 2015
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XXI, 479
Number of Illustrations: 51 b/w illustrations, 37 illustrations in colour
Topics: Computer Appl. in Social and Behavioral Sciences, Applications of Graph Theory and Complex Networks, Personality and Social Psychology, Mathematical Models of Cognitive Processes and Neural Networks, Mathematics in the Humanities and Social Sciences