A Critical Review of Recent Advances in Deep Learning and Machine Learning Models for Cognitive Load Assessment Using Eye-Tracking Technology

Abstract excerpt

Cognitive load is a critical factor that influences learning and performance. In recent years, eye-tracking technologies have emerged as a promising method for detecting and measuring cognitive load in real-time during learning activities. This paper presents a comprehensive review of the state-of-the-art machine learning (ML) and deep learning (DL) methods utilizing eye-tracking technology for cognitive load asse...

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• Aged
• Attention
• Eye Movements
• Methyl-CpG-Binding Protein 2
• Mutation
• Neuropsychological Tests
• Recognition, Psychology
• Rett Syndrome

Identifiers and source

Literature Corpus work

98c32d29-61bb-5835-8c57-0d3377d9c708

DOI

10.20944/preprints202606.1188.v1