Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume -, Issue -, Pages -Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-021-03050-x
Keywords
Readizy; Facial expression recognition; Reading diagnosis; Language learners; Reading text
Categories
Funding
- Research Fund of Central Universities, China [3132020271, 3132020216]
- DMU Research Fund [02500805]
- China Postdoctoral Science Foundation [3620080307]
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This study introduces Readizy, an interdisciplinary program utilizing artificial intelligence technology to assist reading teachers and readers with reading diagnosis. By tracking readers' facial expressions and categorizing them into seven classes, Readizy provides a unique and powerful tool for emotional changes tracking with high accuracy, contributing to affective computing and reading education.
Using artificial intelligence technology, we proposed Readizy to help reading teachers and readers with reading diagnosis. Readizy is an interdisciplinary program based on theoretical tenets and technological developments in linguistics, psychology, and affective computing. This study is part of our overall program; we plan to extend the program from a technological perspective. Specifically, through facial expression recognition techniques, we used Readizy to document readers' facial expressions during the reading process and categorize the expressions into seven classes. We conducted experiments and compared our experimental results with those in the existing FER2013 and CK+ systems. To create expression classifications specifically for readers, we made Readizy unique and powerful for tracking emotional changes with high classification accuracy. This study contributes to affective computing and reading education.
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