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.

Trust has always been complicated. This book works to examine aspects and theories of trust. Chapters look at trust in the workplace. It considers types of leadership and how that influences the trust of employees. As workplaces and societies become more diverse, there can be an impact on trust. Many times, individuals will have implicit biases that can influence their perception of others and their ability to trust. Trust has also become more complicated with the advent of the internet. We can now connect with more ideas and individuals. Yet, is the person who communicates back with us real? Is it someone with a fake account or maybe not even a person at all, but a robot? Even though trust is complicated and we can sometimes be taken advantage of, we still need to find ways to trust others in our lives. Trust allows us to develop a community. We have always needed the community to be safe, both physically and emotionally. This book allows you to connect with new ideas and aspects of trust.

The newly revised edition of this groundbreaking textbook provides a comprehensive overview of the theory, research, and applications of nonverbal communication. Authored by three of the foremost scholars in the field and drawing on multidisciplinary research from communication studies, psychology, linguistics, and family studies, Nonverbal Communication speaks to today’s students with modern examples that illustrate nonverbal communication in their lived experiences. It emphasizes nonverbal codes as well as the functions they perform to help students see how nonverbal cues work with one another and with the verbal system through which we create and understand messages and shows how consequential nonverbal means of communicating are in people’s lives. Chapters cover the social and biological foundations of nonverbal communication as well as the expression of emotions, interpersonal conversation, deception, power, and influence. This edition includes new content on “Influencing Others,” as well as a revised chapter on “Displaying Identities, Managing Images, and Forming Impressions” that combines identity, impression management, and person perception. Nonverbal Communication serves as a core textbook for undergraduate and graduate courses in communication and psychology. Online resources for instructors, including an extensive instructor’s manual with sample exercises and a test bank, are available at www.routledge.com/9780367557386

This accessible book provides a foundational understanding of the science of deception and lie detection. Focusing on core issues for the field, it discusses classic and current psychological research into lying as well as theoretical approaches to understanding human lie detection. This book explores engaging questions around how people lie, how people make decisions about believing others, and how we can detect deception. Each chapter is clearly structured to support students of all levels by summarising content, presenting key research, and systematically evaluating findings. Chapters explore topics including some of the most promising current lie detection techniques, how and why people lie, how lying develops in children, and whether unconscious thinking can boost lie detection accuracy. Providing an overview of key issues in deception, this book will be of great interest to students and lecturers in the field of deception and lie detection, as well as anyone generally interested in this fascinating field of research.

This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain. IoV emerges as a powerful convergence, seamlessly amalgamating the Internet of Things (IoT) and the intelligent transportation systems (ITS). This is crucial not only for safety-critical applications but is also an indispensable resource for non-safety applications and efficient traffic flows. While this paradigm holds numerous advantages, the existence of malicious entities and the potential spread of harmful information within the network not only impairs its performance but also presents a danger to both passengers and pedestrians. Exploring the complexities arising from dynamicity and malicious actors, this book focuses primarily on modern trust management models designed to pinpoint and eradicate threats. This includes tackling the challenges regarding the quantification of trust attributes, corresponding weights of these attributes, and misbehavior detection threshold definition within the dynamic and distributed IoV environment. This will serve as an essential guide for industry professionals and researchers working in the areas of automotive systems and transportation networks. Additionally, it will also be useful as a supplementary text for students enrolled in courses covering cybersecurity, communication networks, and human factors in transportation. Sarah Ali Siddiqui is a CSIRO Early Research Career (CERC) Fellow in the Cyber Security Automation and Orchestration Team, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Adnan Mahmood is a Lecturer in Computing – IoT and Networking at the School of Computing, Macquarie University, Sydney, Australia. Quan Z. (Michael) Sheng is a Distinguished Professor and Head of the School of Computing, at Macquarie University, Sydney, Australia. Hajime Suzuki is a Principal Research Scientist at the Cybersecurity & Quantum Systems Group, Software and Computational Systems Research Program, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Wei Ni is a Principal Scientist at the Commonwealth Scientific and Industrial Research Organisation, a Technical Expert at Standards Australia, a Conjoint Pro-fessor at the University of New South Wales, an Adjunct Professor at the University of Technology Sydney, and an Honorary Professor at Macquarie University, Sydney, Australia.

This volume emphasises knowledge transfer from the lab to the field and describes collaboration technology through three lenses: Proof of Concept, Proof of Value, and Proof of Use. The contributors focus on work practices that extend collaboration into a structured form where groups can work together to solve real-world complex problems. As with the other AMIS volumes, the contributors comprise internationally known experts in the field of Information Systems. Includes online access.