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Research Frontiers in Cognitive Load Assessment Through Multimodal Sensors

Integrates eye-tracking, EEG, and biometric data to quantify real-time cognitive load during learning activities.

Pupillometric Signatures of Working Memory Saturation
Real-time Cognitive Overload Detection via Multimodal Fusion
Psychophysiological Markers of Learning Plateau Recognition
Cross-modal Synchrony in Deep Learning States
Affective-Cognitive Decoupling in High-Load Learning
Temporal Dynamics of Mental Effort Across Modalities
Neuromotor Biomarkers of Conceptual Struggle
Individual Differences in Multimodal Cognitive Load Expression
Silent Cognitive Demand: Subthreshold Load Detection
Metacognitive Calibration Through Physiological Signal Integration

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