Improving Human Attention through EEG-based Neurofeedback under Different Levels of Attention
DOI:
https://doi.org/10.54097/x7scdy57Keywords:
Cognitive ability, attention level, EEG-based Neurofeedback, behavioral measurement.Abstract
As is well known, human cognitive ability affects all aspects of their lives, such as their learning and understanding abilities, as well as their efficiency in dealing with problems. Human’s cognitive ability are significantly influenced by their attention level. To improve human’s cognitive perform in daily life, we do a research to find out the relationship between human’s attention level and their neurofeedback mechanism. Moreover, we use EEG function and some EEG-based study to prove this association. The aim of this study is to investigate the efficacy of electroencephalogram based neural feedback in improving human attention levels under different attention needs. We collect EEG data through the internet to analyze the brain activity patterns related to attention and explore experimental methods for the relationship between EEG and attention. Our research findings indicate that neural feedback can effectively improve attention levels, especially under conditions of high attention demands. This improvement is evident in both behavioral measurement and EEG data, indicating a direct correlation between brain activity and attentional performance. These results are of great significance for the development of cognitive enhancement technologies and interventions aimed at improving attention abilities in various environments, including education, workplace, clinical settings, and so on.
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