EEG-Based Cognitive Assessment Study of In-Vehicle AR-HUD
摘要
In order to reasonably assess the effectiveness of the existing AR-HUD interface indication icon design, a cognitive assessment method of interface icon based on EEG signals is proposed. It is found that there is a dominant relationship between different interface icons and the amplitude of N100, and the larger the amplitude, the higher the visual attention and attractiveness of the interface icon elements.