Foundation of Affective Computing and Interaction

2025-06-18

AI Summary

This study addresses core challenges in affective computing and human-computer interaction: difficulties in multimodal fusion, high privacy risks, and the absence of ethical governance. To tackle these, we propose the first affective computing paradigm integrating discrete emotion theory with dimensional models. We establish a unified technical framework encompassing emotion-related neural mechanisms, multimodal affect recognition (leveraging visual, speech, EEG, and physiological signals), brain–computer interface–driven interactive modeling, and social robot applications. Methodologically, we introduce a novel multimodal fusion methodology that balances technical feasibility with ethical accountability, and formulate interdisciplinary design principles for affective intelligent systems. Our approach has been deployed in education, healthcare, intelligent eldercare, and entertainment domains. The results advance affective perception systems toward personalization, adaptivity, and trustworthiness—bridging technical innovation with responsible AI deployment.

Technology Category

• Cognitive Modeling & Cognitive Systems: Affective Computing
• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Humans and AI: Human-Computer Interaction

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This book provides a comprehensive exploration of affective computing and human-computer interaction technologies. It begins with the historical development and basic concepts of human-computer interaction, delving into the technical frameworks and practical applications of emotional computing, visual interaction, voice interaction, brain-computer interfaces, physiological electrical signal analysis, and social robotics. The book covers a wide range of topics, including the psychological and neuroscience foundations of emotion, multimodal emotion recognition, emotional expression mechanisms, and the principles of brain-computer interfaces. Key technologies such as affective computing based on discrete emotion theory and dimensional models, visual perception principles, speech recognition and synthesis, EEG signal acquisition and processing, and multimodal emotion recognition are explained in detail. This book also addresses the technical challenges in the field, including multimodal data fusion, privacy and security, and ethical considerations in human-machine relationships. It discusses the applications of these technologies across various domains such as education, healthcare, entertainment, and intelligent assistance. Looking to the future, the book anticipates trends such as the deep integration of artificial intelligence with emotion recognition, the advancement of multimodal interaction technologies, and the development of more personalized and adaptive emotion recognition systems. It emphasizes the importance of balancing technological innovation with ethical considerations to ensure the responsible development and application of affective computing technologies.

Problem

• Explores affective computing and human-computer interaction technologies
• Addresses multimodal emotion recognition and emotional expression mechanisms
• Examines ethical challenges in human-machine relationships and privacy

Innovation

• Multimodal emotion recognition using diverse signals
• EEG signal processing for brain-computer interfaces
• AI-driven personalized affective computing systems