Real-time data collection and analysis of user experience in video games

Abstract

In this study, a system proposal has been made that will measure the real-time experience of the player in video games and create process maps specific to certain user types, which will enable various changes to increase the user experience during gameplay. Among the components of the system, a multidimensional data set will be obtained from both the eye tracking and facial expressions of the user, and then processed with a deep learning model. To do so the real user experience and mode will be measured, on the other hand, a process mining model will be created by taking the logs during the game and the outputs of the deep learning software. This model will be integrated into the game software and combined with the gameplay data of each player during the game, providing a special game experience to the user