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008			210207s2021 gw | s |||| 0|eng d
020			_a9783030543839
024	7		_a10.1007/978-3-030-54383-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	0	0	_aDetecting Trust and Deception in Group Interaction _cedited by V S Subrahmanian, Judee K Burgoon, Norah E Dunbar
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 222 páginas) _b47 ilustraciones, 42 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aTerrorism Security and Computation _x2197-8778
505	0		_aPart I: Theory Underlying Investigating Deception in Groups -- 1. Prelude: Relational Communication and the link to Deception -- 2 An integrated Spiral Model of Trust -- 3. The Impact of Culture in Deception and Deception Detection -- Part II: The SCAN Project -- 4. A System for Multi-Person, Multi-Modal Data Collection in Behavioral Information Systems -- 5. Dominance in Groups: How Dyadic Power Theory Can Apply to Group Discussions -- 6. Behavioral Indicators of Dominance in an Adversarial Group Negotiation Game -- 7. Attention-based Facial Behavior Analytics in Social Communication -- 8. Iterative Collective Classification for Visual Focus of Attention Prediction -- Part III: SCAN Project Foundations: Preceding Empirical Investigations of Deception -- 9. Effects of Modality Interactivity and Deception Communication Quality and Task Performance -- 10. Incremental Information Disclosure in Qualitative Financial Reporting: Differences between Fraudulent and Non-Fraudulent Companies -- 11. Cultural Influence on Deceptive Communication -- .
520	3		_aThis 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.
988			_aSpringer_Computer_2021
650		7	_2embne _aAprendizaje automático _9166090
650		7	_2embne _aReconocimiento de formas _9152614
700			_aSubrahmanian, V.S. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _999279
700	1		_aBurgoon, Judee K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9679073
700	1		_aDunbar, Norah E. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9679074 _q(Norah Ellen)
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030543822
776	0	8	_iPrinted edition: _z9783030543846
776	0	8	_iPrinted edition: _z9783030543853
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-54383-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2021 _dz _eIG _zSI