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This book delves into robust multimodal cognitive load measurement using physiological and behavioral modalities, including eye tracking, Galvanic Skin Response, speech, language, pen input, mouse movement, and multimodality fusions. It discusses the impact of factors such as stress, trust, and environmental conditions like illumination on cognitive load measurement. The text introduces dynamic workload adjustment and real-time cognitive load measurement through data streaming, aiming to broaden the accessibility of cognitive load measurement for diverse applications and users. It reviews practical application examples that demonstrate the feasibility of multimodal cognitive load measurement. This work is pioneering in systematically presenting various computational methods for automatic and real-time cognitive load assessment, shifting its application from specialists in computer science and psychology to general end-users, paving the way for widespread implementation. The book targets researchers and practitioners engaged in cognitive load studies and related fields within computer, cognitive, and social sciences, particularly benefiting those in behavior analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.
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Robust Multimodal Cognitive Load Measurement, Fang Chen
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- Année de publication
- 2018
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