Ana Paiva

Gert Jan Hofstede

Arvid Kappas

Elisabeth André

Ruth Aylett

André Silva

Nick Degens

Samuel Mascarenhas

Felix Kistler

Aleksandra Swiderska

Eva Krumhuber

Colette Hume

Lynne Hall

Traveller - Intercultural Training with Intelligent Agents for Young Adults

Jonathan Gratch

Sidney D'Mello

Rafael A. Calvo

Affective Computing is a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. It 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 that intricately involve affect at their core. The Oxford Handbook of Affective Computing will help both new and experienced researchers identify trends, concepts, methodologies, and applications in this burgeouning field. The volume features 41 chapters divided into five main sections: history and theory, detection, generation, methodologies, and applications. Section One begins with a look at the makings of AC and a historical review of the science of emotion. Chapters discuss the theoretical underpinnings of AC from an interdisciplinary perspective involving the affective, cognitive, social, media, and brain sciences. Section Two focuses on affect detection or affect recognition, which is one of the most commonly investigated areas in AC. Section Three examines aspects of affect generation including the synthesis of emotion and its expression via facial features, speech, postures and gestures. Cultural issues in affect generation are also discussed. Section Four features chapters on methodological issues in AC research, including data collection techniques, multimodal affect databases, emotion representation formats, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues in AC. Finally, Section Five highlights existing and future applications of AC in domains such as formal and informal learning, games, robotics, virtual reality, autism research, healthcare, cyberpsychology, music, deception, reflective writing, and cyberpsychology. With chapters authored by world leaders in each area, The Oxford Handbook of Affective Computing is suitable for use as a textbook in undergraduate or graduate courses in AC, and will serve as a valuable resource for students, researchers, and practitioners across the globe.

The Oxford Handbook of Affective Computing

Stephanie Shields

Magda B. Arnold (1903-2002), is a pioneering figure of 20th Century emotions research whose pathbreaking and comprehensive theory of emotion is an ambitious fusion of research in cognition, motivation, neuroscience, and personality. Contributors' reviews and critiques of Arnold's work offer a panorama of 20th Century emotion science, revealing where progress has been made, particularly in understanding appraisal processes, and highlighting issues that emotions researchers continue to grapple with, especially questions concerning emotion and value, optimal human functioning, and the complexity of affective and motivational pathways in the brain. Initially drawn to study emotion in the early 1940s because of her interest in personality psychology, Magda Arnold became a leader in the revival of the psychology of emotion, long neglected while behaviourism was the prevailing paradigm. Arnold's life story is no less complex and inspiring than her multifaceted view of human emotion. She was a woman in a field substantially dominated by men, a devout Roman Catholic at a time when the scientific objectivity of Catholic scholars was questioned, and an immigrant, first to Canada and then the U.S., whose early life had provided her with no advantages and little opportunity. Contributors provide insight into the intellectual forebears and theoretical scope of Arnold's emotion theory, and apply her insights to illuminate pressing questions that face contemporary researchers of emotion, motivation, and affective neuroscience.

A Special Issue of Cognition and Emotion

Magda B. Arnold's Contributions to Emotion Research and Theory

Affective computing (AC) is 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.

Arvid Kappas

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