Communication Improvement by Analyzing Human Pupil Variation in Online Study

DOI

10.2991/icitel-15.2016.13How to use a DOI?

Keywords

emotion recognition, support vector machine, pupil diameter, MOOCs

Abstract

MOOC is increasingly popular and widespread in education, however it changes teaching mechanisms, resulting in communication barrier, especially for disciplines which are highly interactive and interdisciplinary. Here we propose the pitfall of MOOCs and would like to discuss the possible way of bridging the communication gap by a more "HCI" way, that uses pupil variation recognition of student's studying status as a feedback for MOOCs teacher. Better communication could increase the experience of engaging and affecting for online course environment. In the experiment, SVM algorithm was validated to recognize the arousal-valence emotion states of the pupil diameter variation features, which provided an effective model for further mobile application development. By this means, we hope to improve the MOOCs education quality and also obtain useful data to make interesting exploration on MOOCs user behavior study.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ritai Yu
AU  - Guozhong Zhou
AU  - Baixi Xing
PY  - 2016/03
DA  - 2016/03
TI  - Communication Improvement by Analyzing Human Pupil Variation in Online Study
BT  - Proceedings of the 1st International Conference on Information Technologies in Education and Learning
PB  - Atlantis Press
SP  - 60
EP  - 63
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitel-15.2016.13
DO  - 10.2991/icitel-15.2016.13
ID  - Yu2016/03
ER  -