Emotional experience evaluation method of interaction task based on EEG technology

Abstract

In past studies, the emotional experience of interaction task was quantified mainly by the subjective evaluation. This method is susceptible to subjective factor, which can cause the deviation of result. To solve this problem, an emotional experience evaluation method of interaction task based on objective Electroencephalograph (EEG) technology was proposed. Supported by the theory of cognitive neuroscience and EEG, the same family of products with different interaction processes were selected as a sample of experiment, and interactive tasks were set. Then the emotional experience evaluation experiment of interaction task was conducted to obtain objective EEG physiological information. Based on the Power Spectral Density analysis (PSD) and the event-related synchronization/desynchronization theory, characteristic values were calculated. Next, Correlation between the EEG characteristic value and the emotional experience of interactive tasks was judged by Pearson Correlation Coefficient. Finally, the partial least squares regression (PLS) was selected to construct the calculation model. Smartphones were used as the interaction case, and the model's performance was verified. The results showed that the proposed calculation model could achieve the similar evaluation effect as the subjective evaluation, and the deviation was smaller.