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An Eye Detection Based Multi-modal "E-Supervisor" in Distant Education

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4 Author(s)
Gang Chen ; Continue Educ. Coll., Shanghai Jiao Tong Univ., Shanghai, China ; Song Yang ; Xiaoying Zhou ; Ruimin Shen

This paper presents a system, called E-supervisor that detects a student's state of attention and provides appropriate feedback. The system uses an eye detection based method and provides multi-mode feedback such as screen alerting, chair vibration, scent emitting and music playing to make participants aware whenever they are not paying attention. An evaluation shows that supervision by the E-Supervisor can improve learning and attention. Furthermore perceived usefulness is judged high by the evaluation participants, with the vibrant feedback being the preferred feedback modality.

Published in:

Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on

Date of Conference:

4-6 July 2012