Enhancing Personalized Feedback System by Visual Biometric Data Analysis

This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities, this system will collect not only their lear...

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Bibliographic Details
Published in2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) pp. 410 - 413
Main Authors Jingyun Wang, Hong-Fa Ho, Ono, Yuichi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Bioinformatics
Electronic learning
eye-movement
learning logs
Light emitting diodes
personalized
questionnaires
real-time feedbacks
Real-time systems
Safety
Tracking
Visualization
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Summary:This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities, this system will collect not only their learning logs and questionnaires' responses, but also their visual biometric data (eye-movement data). Eye-tracking systems with not only eye safety advance but also precision advance will be used in this research. By analyzing all the collected data, the system will identify learners' characteristics and provide real-time feedbacks in response to their characteristics.
DOI:10.1109/IIAI-AAI.2016.231