@inproceedings{a2a377f3e5ce4f6283c0dc7b9cd680e7,
title = "Enhancing personalized feedback system by visual biometric data analysis",
abstract = "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.",
author = "Jingyun Wang and Ho, \{Hong Fa\} and Yuichi Ono",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 ; Conference date: 10-07-2016 Through 14-07-2016",
year = "2016",
month = aug,
day = "31",
doi = "10.1109/IIAI-AAI.2016.231",
language = "English",
series = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "410--413",
editor = "Ayako Hiramatsu and Tokuro Matsuo and Akimitsu Kanzaki and Norihisa Komoda",
booktitle = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
address = "United States",
}