Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model

Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model

This study deals with an analysis of the cognitive load indicators produced in virtual simulation tasks through supervised and unsupervised machine learning techniques. The objectives were (1) to identify the most important cognitive load indicators through the use of supervised and unsupervised mac...

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Bibliographic Details
Main Authors: María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, Javier Sáez-García, Irene González-Díez
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
eye tracking
galvanic skin response
cognitive load
simulation tasks
machine learning techniques
Online Access:https://www.mdpi.com/2076-3417/14/21/9831
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https://www.mdpi.com/2076-3417/14/21/9831

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