Gaze inspired subtitle position evaluation for MOOCs videos
Hongli Chen, Mengzhen Yan, Sijiang Liu, Bo Jiang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Online educational resources, such as MOOCs, is becoming increasingly popular, especially in higher education field. One most important media type for MOOCs is course video. Besides traditional bottom-position subtitle accompany to the videos, in recent years, researchers try to develop more advanced algorithms to generate speaker-following style subtitles. However, the effectiveness of such subtitle is still unclear. In this paper, we investigate the relationship between subtitle position and the learning effect after watching the video on tablet devices. Inspired with image based human eye tracking technique, this work combines the objective gaze estimation statistics with subjective user study to achieve a convincing conclusion -- speaker-following subtitles are more suitable for online educational videos.