Authors : Kahyun Lim, Byung Mun Lee, Youngho Lee and Jinhyeok Park
Abstract: This study introduces a neurofeedback based learning attention improvement system. This aims to allow normal people to take concentration tests in an affordable and convenient way without visiting a medical institution. To achieve this, we defined the learning attention brainwave and used it to analyze whether students were concentrating on their task or not. We designed a neurofeedback based learning attention training program based on these results which monitors and provides feedbacks to users. Furthermore, we designed to use a Virtual Reality Head-Mounted Display (VR-HMD) to maximize the effectiveness of the training by drawing user’s attention. Unlike conventional attention improvement services based on neurofeedback which control overall brain functions and do not focus on learning attention, our suggesting system thoroughly focuses on attention optimized for effective learning. Our system also provides users with customized learning attention training contents based on their learning attention level with a more precise approach compared to other existing systems which provide the same content to all users. The most unique point of our system is its utilization of VR and HMD as a display tool for training contents. VR and HMD attract user’s attention quickly and effectively and therefore it can contribute to maximize the effect of the training content we provide to students. To verify the system, we conducted flow assessment for high school and college students after finishing a demonstration and short presentation. Most respondents replied affirmatively in more than 78% of questions and expectation for actual commercialization was highest among high school.
Kahyun Lim, Byung Mun Lee, Youngho Lee and Jinhyeok Park, 2018. A Learning Attention Improvement System Based on Neuro Feedback. Journal of Engineering and Applied Sciences, 13: 7492-7499.