Cognitive Media Analysis

This book presents a cognitive framework that bridges neuroscience, cognitive psychology, and artificial intelligence to analyze how people perceive and engage with media. It integrates electroencephalography (EEG), eye-tracking (ET), and AI to identify implicit indicators of attention, engagement, and relevance—offering a deeper understanding of how the brain interprets and evaluates multimodal information. These cognitive insights inform adaptive algorithms for personalized video summaries, intelligent movie trailers, and user-centered media interfaces that dynamically respond to user states.Moving from theory to practice, the book combines empirical research with system design, culminating in a smart-glass prototype that incorporates multimodal sensing, real-time processing, and AI-driven interaction. It also provides methodological guidelines for EEG and ET analysis, demonstrating how neurophysiological data can be integrated with computational media systems.Offering a fresh perspective on human–media relationships, this volume connects cognitive theory with technological innovation. It will appeal to scholars, graduate and undergraduate students in media studies, cognitive science, neuroscience, information science, and computer science, as well as practitioners seeking interdisciplinary approaches to adaptive media technologies and human–computer interaction.