Machine Learning-driven Immersive Scenarios Classification and Generation for Virtual Reality

Immersion is one of the most important properties of the virtual reality system that depends on both its hardware and software attributes. Currently, virtual reality systems try to improve immersion as much as possible. However, there is no metric to measure the level of immersion of a virtual reality system based on its characteristics. Additionally, there are no tools to classify and automatically generate scenarios with high immersion level. In this work, we conducted a user test to gather data on immersion, focusing on system variables. Using this data, we introduce a preliminary study aimed at classifying immersion scenarios according to these variables and the generation of highly immersive scenarios. These contributions offer a useful tool in the area of virtual reality and immersive technologies.