Communication Improvement by Analyzing Human Pupil Variation in Online Study

摘要

MOOC is increasingly popular widespread among education, however it makes changes on teaching mechanism, resulting in communication barrier, especially for discipline which is 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 using 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.