This book consists of thirteen chapters covering many facts like psycho-social intervention on emotional disorders in individuals, impact of emotion and cognition on blended theory, theory and implication of information processing, effects of emotional self esteem in women, emotional dimension of women in workplace, effects of mental thinking in different age groups irrespective of the gender, negative emotions and its effect on information processing, role of emotions in education and lastly emotional analysis in multi perspective domain adopting machine learning approach. Most of the chapters having experimental studies, with each experiment having different constructs as well as different samples for each data collection. Most of the studies measure information processing within altered mood states, such as depression, anxiety, or positive emotional states, with mental ability tasks being conducted in addition to the experiments of quasi-experimental design.

This book offers a comprehensive review and integration of the most recent research and theories on the role of affect in social cognition and features original contributions from leading researchers in the field. The applications of this work to areas such as clinical, organizational, forensic, health, marketing, and advertising psychology receive special emphasis throughout. The book is suitable as a core text in advanced courses on the role of affect in social cognition and behavior or as a reference for those interested in the subject.

Affective information processing assigns computers the human-like capabilities of observation, interpretation and generation of affect features. It is an important topic for harmonious human-computer interaction, by increasing the quality of human-computer communication and improving the intelligence of the computer. Discussing state of art of the research in affective information processing, this book summarises key technologies researched, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agent, and virtual reality. The detailed discussion covers a wide range of topics including hot topics which look to challenge and improve current research work. Written to provide an opportunity for scientists, engineers and graduate students to learn problems, solutions and technologies in the topic area, this book will provide insight and prove a valuable reference tool.

This book consists of thirteen chapters covering many facts like psycho-social intervention on emotional disorders in individuals, impact of emotion and cognition on blended theory, theory and implication of information processing, effects of emotional self esteem in women, emotional dimension of women in workplace, effects of mental thinking in different age groups irrespective of the gender, negative emotions and its effect on information processing, role of emotions in education and lastly emotional analysis in multi perspective domain adopting machine learning approach. Most of the chapters having experimental studies, with each experiment having different constructs as well as different samples for each data collection. Most of the studies measure information processing within altered mood states, such as depression, anxiety, or positive emotional states, with mental ability tasks being conducted in addition to the experiments of quasi-experimental design.

Approaching the topic from a social psychological viewpoint, this book provides a forum for some currently active theorists to provide concise descriptions of their models in a way that addresses four of the most central issues in the field: How does affect influence memory, judgment, information processing, and creativity? Each presentation includes a concise description of the theory's underlying assumptions, an application of these assumptions to the four central issues, and some answers to questions posed by the other theorists. Thus, in one volume, the reader is presented with a single authoritative source for current theories of affect and information processing and is given a chance to "listen in" on a conversation among the theorists in the form of questions and answers related to each theory. Students and researchers alike will benefit from the clarity and brevity of this volume.

This book presents the proceedings of the NeuroIS Retreat 2019, held on June 4–6 in Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory.

Influential theories have argued that affective processing is fundamentally different from cognitive processing. Others have suggested that theoretical boundaries between affective and cognitive processing are artificial and inherently problematic. Over recent years, different positions on these issues have fueled many empirical studies investigating the mechanisms underlying cognitive and affective processing. Where and on what basis should we draw the line between cognition and emotion? Are there fundamental distinctions to be made between the way emotion influences cognition and cognition influences emotion? How does the reciprocal interaction between emotion and cognition lead to adaptive behavior? This Research Topic explores the nature of the reciprocal interaction between emotion and cognition from a functional perspective.

As part of the study of emotions and politics, this book explores connections between affect and cognition and their implications for political evaluation, decision and action. Emphasizing theory, methodology and empirical research, Feeling Politics is an important contribution to political science, sociology, psychology and communications.

In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.

The affective connotations of environmental stimuli are evaluated spontaneously and with minimal cognitive processing. The activated evaluations influence subsequent emotional and cognitive processes. Featuring original contributions from leading researchers active in this area, this book reviews and integrates the most recent research and theories on this exciting new topic. Many fundamental issues regarding the nature of and relationship between evaluations, cognition, and emotion are covered. The chapters explore the mechanisms and boundary conditions of automatic evaluative processes, the determinants of valence, indirect measures of individual differences in the evaluation of social stimuli, and the relationship between evaluations and mood, as well as emotion and behavior. Offering a highly integrated and comprehensive coverage of the field, this book is suitable as a core textbook in advanced courses dealing with the role of evaluations in cognition and emotion.