Detecting Trust and Deception in Group Interaction
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Feb 2021, 2021
- Hardcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -This book analyzes the multimodal verbal and nonverbal behavior of humans in both an artificial game, based on the well-known Mafia and Resistance games, as well as selected other settings. This book develops statistical results linking different types of facial expressions (e.g. smile, pursed lips, raised eyebrows),vocal features (e.g., pitch, loudness) andlinguistic features (e.g., dominant language, turn length)with both unary behaviors (e.g. is person X lying ) to binary behaviors (Is person X dominant compared to person Y Does X trust Y Does X like Y ). In addition, this book describes machine learning and computer vision-based algorithms that can be used to predict deception, as well as the visual focus of attention of people during discussions that can be linked to many binary behaviors. It is written by a multidisciplinary team of both social scientists and computer scientists.Meetings are at the very heart of human activity. Whether you are involved in a business meeting or in a diplomatic negotiation, such an event has multiple actors, some cooperative and some adversarial. Some actors may be deceptive, others may have complex relationships with others in the group. This book consists of a set of 11 chapters that describe the factors that link human behavior in group settings and attitudes to facial and voice characteristics.Researchers working in social sciences (communication, psychology, cognitive science) with an interest in studying the link between human interpersonal behavior and facial/speech/linguistic characteristics will be interested in this book. Computer scientists, who are interested in developing machine learning and deep learning based models of human behavior in group settings will also be interested in purchasing this book. 232 pp. Englisch.…
Seller Inventory # 9783030543822
- Title
- Detecting Trust and Deception in Group Interaction
- Author
- V. S. Subrahmanian
- Publisher
- Springer International Publishing, Springer Nature Switzerland Feb 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 303054382X
- ISBN 13
- 9783030543822
- Item weight
- 518 grams
- Dimensions
- 241x160x19 mm
- Series
- Book 7 of 7: Terrorism, Security, and Computation
This book analyzes the multimodal verbal and nonverbal behavior of humans in both an artificial game, based on the well-known Mafia and Resistance games, as well as selected other settings. This book develops statistical results linking different types of facial expressions (e.g. smile, pursed lips, raised eyebrows), vocal features (e.g., pitch, loudness) and linguistic features (e.g., dominant language, turn length) with both unary behaviors (e.g. is person X lying?) to binary behaviors (Is person X dominant compared to person Y? Does X trust Y? Does X like Y?). In addition, this book describes machine learning and computer vision-based algorithms that can be used to predict deception, as well as the visual focus of attention of people during discussions that can be linked to many binary behaviors. It is written by a multidisciplinary team of both social scientists and computer scientists.
Meetings are at the very heart of human activity. Whether you are involved in a business meeting or in a diplomatic negotiation, such an event has multiple actors, some cooperative and some adversarial. Some actors may be deceptive, others may have complex relationships with others in the group. This book consists of a set of 11 chapters that describe the factors that link human behavior in group settings and attitudes to facial and voice characteristics.
Researchers working in social sciences (communication, psychology, cognitive science) with an interest in studying the link between human interpersonal behavior and facial/speech/linguistic characteristics will be interested in this book. Computer scientists, who are interested in developing machine learning and deep learning based models of human behavior in group settings will also be interested in purchasing this book.
"Synopsis" may belong to another edition of this title.
About the Author
Judee K. Burgoon is Director of Research for the Center for the Management of Information at the University of Arizona, where she holds titles as professor of communication, family studies and human development. She has authored or edited 17 books and monographs (Detecting Trust and Deception in Group Interaction, Social Signal Processing, Discovering Hidden Temporal Patterns in Behavior and Interaction, Nonverbal Communication, Interpersonal Adaptation, Small Group Communication, Mexican Americans and the Mass Media) and over 300 articles, chapters and reviews. Her current research on deception, dyadic interaction, and technologies for automated analysis of nonverbal and verbal communication has been funded by the National Science Foundation; Department of Defense Air Force, Army, Navy and ODNI; Department of Homeland Security; IARPA; and Gannett Foundation, among others. She is the recipient of the highest honors given by the International Communication Association and National Communication Association and has held several offices in NCA including Chair of the Nonverbal Communication Division and Chair of the Research Board. She also served as Site Director of the Center for Identification Research, an NSF multi-university research organization.
Norah E. Dunbar is a Professor of Communication at the Universityof California Santa Barbara. She teaches courses in nonverbal and interpersonal communication, communication theory, and deception detection. She is also an Affiliate Faculty in the Center for Information, Technology & Society; the Center for Digital Games Research; the Center for Responsible Machine Learning, and the Quantitative Methods in the Social Sciences program. She has received over $13 Million in research funding from agencies such as the Intelligence Advanced Research Projects Activity, the National Science Foundation, the Department of Defense, and the Center for Identification Technology Research. She has published over 65 peer-reviewed journal articles and book chapters and has presented over 100 papers at National and International conferences. Her research has appeared in top journals in her discipline including Communication Research, Communication Monographs, and Journal of Computer-Mediated Communication as well as interdisciplinary journals such as Journal of Management Information Systems and Computers in Human Behavior. She has served on the editorial board of over a dozen disciplinary journals and as the Chair of the Nonverbal Division of the National Communication Association in 2014-2016. She is the current Chair of the Communication Department at UCSB."About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
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