Recent years have seen the rise of a remarkable partnership between the social and computational sciences on the phenomena of emotions. This book reports on the state-of-the-art in both social science theory and computational methods, and illustrates how these two fields, together, can both facilitate practical computer/robotic applications and illuminate human social processes.

Volume LNCS 13519 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

Psychological research on the origins and consequences of prejudice, discrimination, and stereotyping has moved into previously uncharted directions through the introduction of neuroscientific measures. Psychologists can now address issues that are difficult to examine with traditional methodologies and monitor motivational and emotional as they develop during ongoing intergroup interactions, thus enabling the empirical investigation of the fundamental biological bases of prejudice. However, several very promising strands of research have largely developed independently of each other. By bringing together the work of leading prejudice researchers from across the world who have begun to study this field with different neuroscientific tools, this volume provides the first integrated view on the specific drawbacks and benefits of each type of measure, illuminates how standard paradigms in research on prejudice and intergroup relations can be adapted for the use of neuroscientific methods, and illustrates how different methodologies can complement each other and be combined to advance current insights into the nature of prejudice. This cutting-edge volume will be of interest to advanced undergraduates, graduates, and researchers students who study prejudice, intergroup relations, and social neuroscience.

In recent years, all types of businesses have increasingly focused on the importance of the relationship with the customer. Customer knowledge management has become a well-known term used in the business and academic worlds for understanding how to control consumer behavior. The Handbook of Research on Managing and Influencing Consumer Behavior discusses the importance of understanding and implementing customer knowledge management and customer relationship management into everyday business workflows. This comprehensive reference work highlights the changes that the Internet and social media have brought to consumer behavior, and is of great use to marketers, businesses, academics, students, researchers, and professionals.

As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene. The aim of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches. Also discussed are natural language processing and affective computing, via the analysis and generation of socio-emotional signals. The book explores the analysis of opinions in human–human interaction and tackles the less-explored (yet crucial) challenges related to the analysis methods of user opinions within the context of human–agent interaction. It also illustrates the implementation of strategies for selecting and generating agent utterances in response to user opinions, and opens up perspectives on the agent’s multimodal generation of utterances that hold attitudes.

This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.

"The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--

"This book concentrates on theory, application, and the development of web-based technologies for teaching and learning and its influence on the education system"--

This volume constitutes the refereed proceedings of the 7th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2015, held as part of the 17th International Conference on Human-Computer Interaction, HCI 2015, held in Los Angeles, CA, USA, in August 2015. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences was carefully reviewed and selected from 4843 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The 54 papers included in this volume are organized in the following topical sections: user experience in virtual and augmented environments; developing virtual and augmented environments; agents and robots in virtual environments; VR for learning and training; VR in Health and Culture; industrial and military applications.

"This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading"--