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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.
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 constitutes the proceedings of the First Indo-Japanese conference on Perception and Machine Intelligence, PerMIn 2012, held in Kolkata, India, in January 2012. The 41 papers, presented together with 1 keynote paper and 3 plenary papers, were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections named perception; human-computer interaction; e-nose and e-tongue; machine intelligence and application; image and video processing; and speech and signal processing.
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.
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.
Emotions, Technology, Design, and Learning provides an update to the topic of emotional responses and how technology can alter what is being learned and how the content is learned. The design of that technology is inherently linked to those emotional responses. This text addresses emotional design and pedagogical agents, and the emotions they generate. Topics include design features such as emoticons, speech recognition, virtual avatars, robotics, and adaptive computer technologies, all as relating to the emotional responses from virtual learning. - Addresses the emotional design specific to agent-based learning environments - Discusses the use of emoticons in online learning, providing an historical overview of animated pedagogical agents - Includes evidence-based insights on how to properly use agents in virtual learning environments - Focuses on the development of a proper architecture to be able to have and express emotions - Reviews the literature in the field of advanced agent-based learning environments - Explores how educational robotic activities can divert students' emotions from internal to external
The role of affect in how people think and behave in social situations has been a source of fascination to laymen and philosophers since time immemorial. Surprisingly, most of what we know about the role of feelings in social thinking and behavior has been discovered only during the last two decades. Affect in Social Thinking and Behavior reviews and integrates the most recent research and theories on this exciting topic, and features original contributions reviewing key areas of affect research from leading researchers active in the area. The book covers fundamental issues, such as the nature and relationship between affect and cognition, as well as chapters that deal with the cognitive antecedents of emotion, and the consequences of affect for social cognition and behavior. This volume offers a highly integrated and comprehensive coverage of this field, and is suitable as a core textbook in advanced courses dealing with the role of affect in social cognition and behavior.