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

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.