Emotions and Affect in Human Factors and Human–Computer Interaction is a complete guide for conducting affect-related research and design projects in H/F and HCI domains. Introducing necessary concepts, methods, approaches, and applications, the book highlights how critical emotions and affect are to everyday life and interaction with cognitive artifacts. The text covers the basis of neural mechanisms of affective phenomena, as well as representative approaches to Affective Computing, Kansei Engineering, Hedonomics, and Emotional Design. The methodologies section includes affect induction techniques, measurement techniques, detection and recognition techniques, and regulation models and strategies. The application chapters discuss various H/F and HCI domains: product design, human–robot interaction, behavioral health and game design, and transportation. Engineers and designers can learn and apply psychological theories and mechanisms to account for their affect-related research and can develop their own domain-specific theory. The approach outlined in this handbook works to close the existing gap between the traditional affect research and the emerging field of affective design and affective computing. - Provides a theoretical background of affective sciences - Demonstrates diverse affect induction methods in actual research settings - Describes sensing technologies, such as brain–computer interfaces, facial expression detection, and more - Covers emotion modeling and its application to regulation processes - Includes case studies and applied examples in a variety of H/F and HCI application areas - Addresses emerging interdisciplinary areas including Positive Technology, Subliminal Perception, Physiological Computing, and Aesthetic Computing

"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."--

For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.

This book proposes a framework for integrating neuroscience and cyberpsychology for the study of social, cognitive, and affective processes.

Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics. Includes applications of neuroadaptive technology in a variety of disciplines Comprises in-depth technical coverage of Passive Brain-Computer Interfaces, Physiological Computing, Affective Computing, Neurofeedback, and Closed-Loop Human-Computer Interaction Covers topics such as monitoring safety-critical behaviour, brain-computer interfaces, neurofeedback, virtual reality, neurostimulation, tangible interfaces, mobile brain-body imaging, system taxonomy and ethical implications of neuroadaptive technology Covers applied research using techniques such as: EEG, fNIRS, eye-tracking, psychophysiology, spontaneous radio frequency transmission and tDCS Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and its applications

A recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged in the past two decades. This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, and coordinated presentation of the field's key principles, current practice, and future prospects.

This volume brings together new work by leading philosophers on emotion and value. They address questions including the role of emotions in practical rationality and moral psychology, the connection between imagination and emotion, and the ability of emotions to ground ethical or aesthetic judgements.

'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. This book presents an interdisciplinary exploration of this rapidly expanding field, aimed at those in psychology, computational neuroscience, computer science, and AI.