Enhancing personalized feedback system by visual biometric data analysis

Jingyun Wang, Hong Fa Ho, Yuichi Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages410-413
Number of pages4
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - Aug 31 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: Jul 10 2016Jul 14 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period7/10/167/14/16

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Wang, J., Ho, H. F., & Ono, Y. (2016). Enhancing personalized feedback system by visual biometric data analysis. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 410-413). [7557644] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.231