Emotional Experience Design of B2C Web site Based on Emotion Recognition

This paper proposes a B2C Web site emotion feedback system based on emotion recognition, which helps users to regulate their emotions by providing relevant suggestions, thereby improving user Emotional Experience (EE) in the process of Human-Computer Interaction (HCI). Adjust the aesthetics and usability of the B2C Web site to change the emotions of 16 users, combining subjective evaluation and Baidu’s facial expression recognition service to measure the user’s EE. After that, the emotion feedback system is generated in combination with the service, and the user’s emotions are displayed in real time through color symbol expressions. When negative emotions are recognized, a dialog box will pop up to remind users to relax. The results show that this emotion feedback system aimed at regulating users' emotions can be applied to B2C Web sites. This study provides more directions for the design research of user EE in the future.