This paper is in the following e-collection/theme issue:

Serious Games for Education (149) e-Learning and Medical Education (691) New Methods (944) Machine Learning (1465) Evaluation of Medical Education (78)

Published on in Vol 9, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21620, first published .
Pupillary Responses for Cognitive Load Measurement to Classify Difficulty Levels in an Educational Video Game: Empirical Study

Pupillary Responses for Cognitive Load Measurement to Classify Difficulty Levels in an Educational Video Game: Empirical Study

Pupillary Responses for Cognitive Load Measurement to Classify Difficulty Levels in an Educational Video Game: Empirical Study

Authors of this article:

Hugo Mitre-Hernandez1 Author Orcid Image ;   Roberto Covarrubias Carrillo1 Author Orcid Image ;   Carlos Lara-Alvarez1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Hugo Mitre-Hernandez   1 , PhD, MSc, BSc ;   Roberto Covarrubias Carrillo   1 , BSc, MSc ;   Carlos Lara-Alvarez   1, 2 , PhD, MSc, BSc

1 Center for Research in Mathematics, Zacatecas, Mexico

2 Center for Research and Advanced Studies of the National Polytechnic Institute, Tamaulipas, Ciudad Victoria, Mexico

Corresponding Author:

  • Carlos Lara-Alvarez, PhD, MSc, BSc
  • Center for Research in Mathematics
  • Calle Lasec y Andador Galileo Galilei
  • Quantum, Ciudad del Conocimiento
  • Zacatecas, 98160
  • Mexico
  • Phone: 52 4929980 ext 1105
  • Email: c.alberto.lara@gmail.com