- Oxford Library of Psychology
- The Oxford Handbook of Affective Computing
- Oxford Library of Psychology
- About the Editors
- Contributors
- Introduction to Affective Computing
- The Promise of Affective Computing
- A Short History of Psychological Perspectives on Emotion
- Neuroscientific Perspectives of Emotion
- Appraisal Models
- Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation
- Social Signal Processing
- Why and How to Build Emotion-Based Agent Architectures
- Affect and Machines in the Media
- Automated Face Analysis for Affective Computing
- Automatic Recognition of Affective Body Expressions
- Speech in Affective Computing
- Affect Detection in Texts
- Physiological Sensing of Emotion
- Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection
- Interaction-Based Affect Detection in Educational Software
- Multimodal Affect Recognition for Naturalistic Human-Computer and Human-Robot Interactions
- Facial Expressions of Emotions for Virtual Characters
- Expressing Emotion Through Posture and Gesture
- Emotional Speech Synthesis
- Emotion Modeling for Social Robots
- Preparing Emotional Agents for Intercultural Communication
- Multimodal Affect Databases: Collection, Challenges, and Chances
- Ethical Issues in Affective Computing
- Research and Development Tools in Affective Computing
- Emotion Data Collection and Its Implications for Affective Computing
- Affect Elicitation for Affective Computing
- Crowdsourcing Techniques for Affective Computing
- Emotion Markup Language
- Machine Learning for Affective Computing: Challenges and Opportunities
- Feeling, Thinking, and Computing with Affect-Aware Learning Technologies
- Enhancing Informal Learning Experiences with Affect-Aware Technologies
- Affect-Aware Reflective Writing Studios
- Emotion in Games
- Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application
- Affect in Human-Robot Interaction
- Virtual Reality and Collaboration
- Unobtrusive Deception Detection
- Affective Computing, Emotional Development, and Autism
- Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness
- Cyberpsychology and Affective Computing
- Glossary
- Index
Abstract and Keywords
This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. The brain is involved in the registration, evaluation, and representation of emotional events and in the subsequent planning and execution of appropriate actions. Novel interface technologies—so-called affective brain-computer interfaces (aBCI)—can use this rich neural information, occurring in response to affective stimulation, for the detection of the user’s affective state. This chapter gives an overview of the promises and challenges that arise from the possibility of neurophysiology-based affect detection, with a special focus on electrophysiological signals. After outlining the potential of aBCI relative to other sensing modalities, the reader is introduced to the neurophysiological and neurotechnological background of this interface technology. Potential application scenarios are situated in a general framework of brain-computer interfaces. Finally, the main scientific and technological challenges that have yet to be solved on the way toward reliable affective brain-computer interfaces are discussed.
Keywords: brain-computer interfaces, emotion, neurophysiology, affective state
Christian Mühl received his PhD in 2012 for his research on the methodological and neurophysiological foundations of neurophysiology-based sensing of affective user states at the Human-Media Interaction group of the University of Twente (NL). From 2013 to 2014, he worked at Inria Bordeaux - Sud-Ouest (FR) on the detection of stress and workload from physiological and neurophysiological signals. Currently, he is post-doctoral fellow at the German Aerospace Center in Cologne (DE), where he investigates the influence of fatigue on the cognitive performance and its physiological correlates. His main interests include the estimation of affective and cognitive user state from physiological and neurophysiological sensors to improve man-machine interaction, the study of signal variability due to context-dependent affective responses frequently occurring in real-world settings, and the development of strategies to overcome the challenges associated with such context-dependent variability of physiological signals.
After his studies of Linguistics, Computer Science, and Computational Linguistics at the University of Antwerp Dirk Heylen moved to the Institute of Dutch Lexicology in Leyden, to develop tools for enriching natural language databases. After a couple of years he went on to the Utrecht University and got involved in the big European project Eurotra on Machine Translation. After coordinating a follow-up EU project, he started his PhD project on a logical approach to natural language analysis and parsing (Type Logical Grammar). At the University of Twente he started working on embodied dialogue systems (a.k.a. virtual agents or embodied conversational agents). This made my interests shift from pure linguistic analysis to body language, from text analysis to real-time human-machine interaction, and from the logical analysis to a much broader concern with emotion and social relations in interaction. He has been involved in several European projects such as Humaine, AMI and AMIDA, COST 2102, Semaine, SSPNET, and SERA. Dialogue management, human behaviour modeling, cognitive modeling, human-robot interaction, methodological issues in corpus studies, and annotation are some of the topics dealt with in these projects. Current Dutch national projects he is involved in include BrainGain in which neural correlates of a user’s experience are explored for Human Computer Interaction using Brain Computing Interfaces and GATE dealing with cognitive models of virtual agents in training applications.
Anton Nijholt started his professional life as a scientific programmer at TNO, Rijswijk, the Netherlands. He studied mathematics and computer science at Delft University of Technology and moved to live in Amsterdam and do his PhD in theoretical computer science at the Vrije Universiteit. After that he was employed at several universities in and outside the Netherlands before 'settling down' at the University of Twente in 1989 as a full professor. He became head of the department Software Engineering and Theoretical Computer Science and, shortly thereafter, the Faculty of Computer Science before changing his research interests from theoretical computer science to natural language processing and, after the year 2000, to human-computer interaction. He initiated the Human Media Interaction research group and this group took part in many Dutch and European research projects on multimodal and multi-party interaction, information retrieval and brain-computer interfacing. Nijholt is author and editor of several books and proceedings on entertainment computing, playful user interfaces, affective computing and brain-computer interfacing.
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- Oxford Library of Psychology
- The Oxford Handbook of Affective Computing
- Oxford Library of Psychology
- About the Editors
- Contributors
- Introduction to Affective Computing
- The Promise of Affective Computing
- A Short History of Psychological Perspectives on Emotion
- Neuroscientific Perspectives of Emotion
- Appraisal Models
- Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation
- Social Signal Processing
- Why and How to Build Emotion-Based Agent Architectures
- Affect and Machines in the Media
- Automated Face Analysis for Affective Computing
- Automatic Recognition of Affective Body Expressions
- Speech in Affective Computing
- Affect Detection in Texts
- Physiological Sensing of Emotion
- Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection
- Interaction-Based Affect Detection in Educational Software
- Multimodal Affect Recognition for Naturalistic Human-Computer and Human-Robot Interactions
- Facial Expressions of Emotions for Virtual Characters
- Expressing Emotion Through Posture and Gesture
- Emotional Speech Synthesis
- Emotion Modeling for Social Robots
- Preparing Emotional Agents for Intercultural Communication
- Multimodal Affect Databases: Collection, Challenges, and Chances
- Ethical Issues in Affective Computing
- Research and Development Tools in Affective Computing
- Emotion Data Collection and Its Implications for Affective Computing
- Affect Elicitation for Affective Computing
- Crowdsourcing Techniques for Affective Computing
- Emotion Markup Language
- Machine Learning for Affective Computing: Challenges and Opportunities
- Feeling, Thinking, and Computing with Affect-Aware Learning Technologies
- Enhancing Informal Learning Experiences with Affect-Aware Technologies
- Affect-Aware Reflective Writing Studios
- Emotion in Games
- Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application
- Affect in Human-Robot Interaction
- Virtual Reality and Collaboration
- Unobtrusive Deception Detection
- Affective Computing, Emotional Development, and Autism
- Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness
- Cyberpsychology and Affective Computing
- Glossary
- Index