Applied Affective Computing

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Applied Affective Computing

Leimin Tian,Sharon Oviatt,Michal Muszynski
Applied Affective Computing Book PDF

Author : Leimin Tian,Sharon Oviatt,Michal Muszynski
Publisher : ACM Books
Page : 308 pages
File Size : 51,9 Mb
Release : 2022-02-04
Category : Computers
ISBN : 1450395910

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Applied Affective Computing by Leimin Tian,Sharon Oviatt,Michal Muszynski Pdf

Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing. This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered. For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.

Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis

Gyanendra K. Verma
Multimodal Affective Computing Affective Information Representation Modelling and Analysis Book PDF

Author : Gyanendra K. Verma
Publisher : Bentham Science Publishers
Page : 167 pages
File Size : 46,8 Mb
Release : 2023-03-21
Category : Computers
ISBN : 9789815124460

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Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis by Gyanendra K. Verma Pdf

Computer Assistive Technologies for Physically and Cognitively Challenged Users focuses on the technologies and devices that assist individuals with physical and cognitive disabilities. These technologies facilitate independent activity and participation, serving to improve daily functional capabilities. The book features nine chapters that cover a wide range of computer assistive technologies that give readers an indepth understanding of the available resources to help the elderly or individuals with disabilities. The topics covered in the book include 1) The category and ontology of assistive devices, 2) Web accessibility and ICT accessibility for persons with disability (PWD), 3) Assistive technologies for blind and visually impaired people, 4) Assistive technologies for home comfort and care, 5) Assistive technologies for hearing impaired people using Indian sign language synthetic animations, 6) Augmentative and alternative communication/hearing impairments, 7) Accessibility innovations to help physically disabled users, 8) Adhesive tactile walking surface indicators for elderly and visually impaired people mobility, 9) future of assistive technologies This book serves as a textbook resource for students undertaking modular courses that require learning material on computer assistive technology. It also serves as a reference for graduate level courses in disability studies, humancomputer interaction, gerontology and rehabilitation engineering. Researchers working in the allied fields intersecting computer science, medicine and psychology will also benefit from the information provided in the book.

Applied Affective Computing

Leimin Tian,Sharon Oviatt,Michal Muszynski,Brent Chamberlain,Jennifer Healey,Akane Sano
Applied Affective Computing Book PDF

Author : Leimin Tian,Sharon Oviatt,Michal Muszynski,Brent Chamberlain,Jennifer Healey,Akane Sano
Publisher : Morgan & Claypool
Page : 308 pages
File Size : 49,9 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9781450395939

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Applied Affective Computing by Leimin Tian,Sharon Oviatt,Michal Muszynski,Brent Chamberlain,Jennifer Healey,Akane Sano Pdf

Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing. This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered. For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.

Deep Learning Techniques Applied to Affective Computing

Zhen Cui,Wenming Zheng
Deep Learning Techniques Applied to Affective Computing Book PDF

Author : Zhen Cui,Wenming Zheng
Publisher : Frontiers Media SA
Page : 151 pages
File Size : 40,5 Mb
Release : 2023-06-14
Category : Science
ISBN : 9782832526361

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Deep Learning Techniques Applied to Affective Computing by Zhen Cui,Wenming Zheng Pdf

Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.

Socio-Cognitive and Affective Computing

Antonio Fernández-Caballero,Pascual González,Maíra Teresa López,Elena Navarro
Socio Cognitive and Affective Computing Book PDF

Author : Antonio Fernández-Caballero,Pascual González,Maíra Teresa López,Elena Navarro
Publisher : MDPI
Page : 255 pages
File Size : 48,7 Mb
Release : 2018-09-21
Category : Electronic books
ISBN : 9783038971986

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Socio-Cognitive and Affective Computing by Antonio Fernández-Caballero,Pascual González,Maíra Teresa López,Elena Navarro Pdf

This book is a printed edition of the Special Issue "Socio-Cognitive and Affective Computing" that was published in Applied Sciences

Affective Computing

Rosalind W. Picard
Affective Computing Book PDF

Author : Rosalind W. Picard
Publisher : MIT Press
Page : 308 pages
File Size : 53,8 Mb
Release : 2000-07-24
Category : Computers
ISBN : 0262661152

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Affective Computing by Rosalind W. Picard Pdf

According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this book provides the intellectual framework for affective computing. It includes background on human emotions, requirements for emotionally intelligent computers, applications of affective computing, and moral and social questions raised by the technology. Part 2 discusses the design and construction of affective computers. Although this material is more technical than that in Part 1, the author has kept it less technical than typical scientific publications in order to make it accessible to newcomers. Topics in Part 2 include signal-based representations of emotions, human affect recognition as a pattern recognition and learning problem, recent and ongoing efforts to build models of emotion for synthesizing emotions in computers, and the new application area of affective wearable computers.

A Blueprint for Affective Computing

Klaus R. Scherer,Tanja Bänziger,Etienne Roesch
A Blueprint for Affective Computing Book PDF

Author : Klaus R. Scherer,Tanja Bänziger,Etienne Roesch
Publisher : Oxford University Press
Page : 408 pages
File Size : 42,5 Mb
Release : 2010-09-23
Category : Computers
ISBN : 9780199566709

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A Blueprint for Affective Computing by Klaus R. Scherer,Tanja Bänziger,Etienne Roesch Pdf

'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.

Affective Computing

Jimmy Or
Affective Computing Book PDF

Author : Jimmy Or
Publisher : BoD – Books on Demand
Page : 454 pages
File Size : 45,5 Mb
Release : 2008-05-01
Category : Computers
ISBN : 9783902613233

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Affective Computing by Jimmy Or Pdf

This book provides an overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections. Since one of the most important means of human communication is facial expression, the first section of this book (Chapters 1 to 7) presents a research on synthesis and recognition of facial expressions. Given that we not only use the face but also body movements to express ourselves, in the second section (Chapters 8 to 11) we present a research on perception and generation of emotional expressions by using full-body motions. The third section of the book (Chapters 12 to 16) presents computational models on emotion, as well as findings from neuroscience research. In the last section of the book (Chapters 17 to 22) we present applications related to affective computing.

The Oxford Handbook of Affective Computing

Rafael A. Calvo,Sidney D'Mello,Jonathan Matthew Gratch,Arvid Kappas
The Oxford Handbook of Affective Computing Book PDF

Author : Rafael A. Calvo,Sidney D'Mello,Jonathan Matthew Gratch,Arvid Kappas
Publisher : Oxford Library of Psychology
Page : 625 pages
File Size : 54,8 Mb
Release : 2015
Category : Computers
ISBN : 9780199942237

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The Oxford Handbook of Affective Computing by Rafael A. Calvo,Sidney D'Mello,Jonathan Matthew Gratch,Arvid Kappas Pdf

"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."--

Affective Information Processing

Jianhua Tao,Tieniu Tan
Affective Information Processing Book PDF

Author : Jianhua Tao,Tieniu Tan
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 52,8 Mb
Release : 2008-12-02
Category : Computers
ISBN : 9781848003064

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Affective Information Processing by Jianhua Tao,Tieniu Tan Pdf

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.

New Perspectives on Affect and Learning Technologies

Rafael A. Calvo,Sidney K. D'Mello
New Perspectives on Affect and Learning Technologies Book PDF

Author : Rafael A. Calvo,Sidney K. D'Mello
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 40,6 Mb
Release : 2011-07-15
Category : Education
ISBN : 9781441996251

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New Perspectives on Affect and Learning Technologies by Rafael A. Calvo,Sidney K. D'Mello Pdf

This monograph integrates theoretical perspectives on affect and learning with recent research in affective computing with an emphasis on building new learning technologies. The "new perspectives" come from the intersection of several research themes: -Basic research on emotion, cognition, and motivation applied to learning environments -Pedagogical and motivational strategies that are sensitive to affective and cognitive processes -Multimodal Human Computer Interfaces, with a focus on affect recognition and synthesis -Recent advances in affect-sensitive Intelligent Tutoring Systems -Novel methodologies to investigate affect and learning -Neuroscience research on emotions and learning

Emotions and Affect in Human Factors and Human-Computer Interaction

Myounghoon Jeon
Emotions and Affect in Human Factors and Human Computer Interaction Book PDF

Author : Myounghoon Jeon
Publisher : Academic Press
Page : 624 pages
File Size : 52,5 Mb
Release : 2017-05-17
Category : Technology & Engineering
ISBN : 9780128018798

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Emotions and Affect in Human Factors and Human-Computer Interaction by Myounghoon Jeon Pdf

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

Affect and Emotion in Human-Computer Interaction

Christian Peter,Russell Beale
Affect and Emotion in Human Computer Interaction Book PDF

Author : Christian Peter,Russell Beale
Publisher : Springer
Page : 242 pages
File Size : 51,7 Mb
Release : 2008-08-25
Category : Computers
ISBN : 9783540850991

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Affect and Emotion in Human-Computer Interaction by Christian Peter,Russell Beale Pdf

Affect and emotion play an important role in our everyday lives: They are present whatever we do, wherever we are, and wherever we go, without us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. Given this, it seems only sensible to explore affect and emotion in human-computer interaction, to investigate the underlying principles, to study the role they play, to develop methods to quantify them, and to finally build applications that make use of them. This is the research field for which, over ten years ago, Rosalind Picard coined the phrase "affective computing". The present book provides an account of the latest work on a variety of aspects related to affect and emotion in human-technology interaction. It covers theoretical issues, user experience and design aspects as well as sensing issues, and reports on a number of affective applications that have been developed in recent years.

Affective Computing for Social Good

Muskan Garg,Rajesh Shardanand Prasad
Affective Computing for Social Good Book PDF

Author : Muskan Garg,Rajesh Shardanand Prasad
Publisher : Springer
Page : 0 pages
File Size : 55,8 Mb
Release : 2024-09-25
Category : Computers
ISBN : 3031638204

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Affective Computing for Social Good by Muskan Garg,Rajesh Shardanand Prasad Pdf

Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities. Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently. As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation. The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care. Addressing data challenges, "Enhancing Affective Computing with Data Augmentation: Strategies for Overcoming Limited Data Availability" presents solutions for imbalances affecting model performance. "Advancements in Multimodal Emotion Recognition" highlights the integration of facial expressions with physiological signals to improve emotion recognition accuracy and reliability. Concluding with "Ethical Considerations in Affective Computing" and "Cognitive Currents: A Path from Neuroscience to Consciousness," the book connects technical advancements in affective computing with broader ethical and philosophical inquiries surrounding consciousness and the human experience. Features: Helps readers understand the potential benefits of emotionally intelligent AI systems, such as improving mental health care, enhancing education, or promoting more ethical decision-making. Addresses ethical considerations related to the development and deployment of emotionally intelligent AI systems, helping readers to become more aware of the potential risks and trade-offs involved. Presents new approaches or frameworks for developing emotionally intelligent AI systems, providing readers with innovative ideas and perspectives. Provides examples of successful case studies where emotionally intelligent AI systems were used for social good, which may inspire readers to think about how they can contribute to society through AI development. Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world.

Emotion-Oriented Systems

Catherine Pelachaud
Emotion Oriented Systems Book PDF

Author : Catherine Pelachaud
Publisher : John Wiley & Sons
Page : 338 pages
File Size : 41,7 Mb
Release : 2013-02-07
Category : Technology & Engineering
ISBN : 9781118603321

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Emotion-Oriented Systems by Catherine Pelachaud Pdf

The Affective Computing domain, term coined by Rosalind Picard in 1997, gathers several scientific areas such as computer science, cognitive science, psychology, design and art. The humane-machine interaction systems are no longer solely fast and efficient. They aim to offer to users affective experiences: user’s affective state is detected and considered within the interaction; the system displays affective state; it can reason about their implication to achieve a task or resolve a problem. In this book, we have chosen to cover various domains of research in emotion-oriented systems. Our aim is also to highlight the importance to base the computational model on theoretical foundations and on natural data.