Research on Cognition and Inference Model of Interface Color Imagery Based on EEG Technology

Abstract

The mobile phone interface has become important access to daily information and social entertainment. And the color design of digital interfaces has a direct impact on improving the user experience. In order to explore the user's perceptual cognition of the interface color imagery, the objective relationship between EEG (Electroencephalography) signal and interface color imagery cognition is analyzed and an inference model of interface color imagery based on EEG is established. Imagery words were selected by a card sorting experiment. EEG data is generated in the users' cognition process of matching app interface color and imagery words. Experimental results show that the N400 component appears in the experiment of imagery word as the target stimulus, and the P300 component appears in the experiment of interface picture as the target stimulus. The inference model of interface color imagery is established by Extreme Learning Machine (ELM) based on the average amplitude data of N400 or P300. Results of the verification experiment indicate that the inference model can accurately predict the imagery match tendency of interface color and imagery words.