Neural signal capture with brain-computer interface to estimate the level of emotional variables in the usability of books with augmented reality

Abstract

This study analyzes the degree of acceptance of emotional variables through neuroseñales to the extent of the usability of books with augmented reality. The research was carried out with students of the subject data structure and algorithms of the Faculty of Engineering and Architecture of the University of Pamplona (Colombia). The information of the emotional variables was captured through a low-cost commercial brain-computer interface in an experiment in which students interacted with a book with augmented reality designed for the subject. The analysis of this type of neuroseñales allows to improve the level of usability indicators of books with augmented reality by obtaining quantitative measures that can be used in the software development process with augmented reality.