Video Game Review using Facial Emotion Recognition

Abstract

Video games are designed keeping in mind a specific target audience. Each video game aims to evoke a particular behavior and set of emotions from the users. In video gaming, during the testing phase, users are asked to play the game for a given period and their feedback is incorporated to make the final product. Use of facial emotion detection can aid in understanding which emotions a user is going through in real-time as he is playing without analyzing the complete video manually. Such product feedback can be taken by analyzing a live feed of the user and detecting his facial emotions. While feelings of frustration and anger are commonly experienced in advanced video games, making use of facial emotion detection will help understand which emotions are experienced at what points in the game. It is also possible that some unexpected or undesirable emotions are observed during the game. Taking a written feedback from the user who has experienced the game can be inefficient. This is because it can often be difficult to put an experience into words. Moreover, users may be unable to remember what exactly they went through emotionally across different parts of the game. Facial Emotion detection is a practical means of going beyond the spoken or written feedback and appreciating what the user is experiencing. When feedback is taken in this format, it becomes genuinely non-intrusive when it comes to user experience.