Eye-tracking studies have been increasingly used to investigate student cognitive
processes. While some existing literature has reviewed commonly used eye-tracking …

As a technical application in artificial intelligence, a social robot is one of the branches of
robotic studies that emphasizes socially communicating and interacting with human beings …

This study focused on the prediction of intrinsic and extraneous cognitive load using eye-
tracking metrics, heart rate variability, and galvanic skin response. Intrinsic cognitive load is …

Given the great potential of integrating Computer-Assisted Language Learning (CALL) and
Artificial Intelligence-Assisted Language Learning (AIALL) to enhance language learning …

This study deals with an analysis of the cognitive load indicators produced in virtual
simulation tasks through supervised and unsupervised machine learning techniques. The …

This thesis explored a novel approach to assess mental workload (MWL) by combining
machine learning (ML) and electroencephalography (EEG) data. Aiming for a more objective …

Assessing cognitive load (CL) helps measure the capacity of human working memory, which
is of the utmost importance for optimizing performance and ensuring safety. Traditionally …