Develop an Attention Recognition Mechanism on e-book reading system by brainwave and visual

Abstract

Student's reading attention is highly related to their reading ability and learning performance. Traditionally, it is a difficult procedure that when teachers want to observe the reading attention state of each students. In recent years, sensing technology-based applications and learning methods emerge in the increasingly mature environment. Most studies have shown the effectiveness of sensor-assisted learning system in helping teachers observe students' learning state. In order to help teachers effectively observe students' learning attention, this study developed Attention Recognition Mechanism (ARM) on e-book reading system by brainwave and visual. To derive more insights from the participants of the ARM on e-book system, five teachers were enrolled in the interview study. They commented that using attention recognition mechanism on e-book reading system can help teachers monitor the student's reading attention state and provide suitable feedback.