An Optimal VR-Game Content Control Strategy based on User Physiological Conditions

This paper proposes an innovative virtual reality game control method to improve existing game content control approaches, aiming to provide a gaming experience that combines maximum entertainment and safety through automated control techniques. Firstly, the game system presented in this paper collects players' physiological and psychological information through wearable devices, and then obtains the players' physical and mental states via trained CNN. The system will automatically adjust the game content based on the players' states, including game difficulty, scenes, and interactive modes of game characters, to deliver the most suitable content output to the players. To validate the effectiveness of this control system, the paper conducts questionnaire feedback to assess the performance and user experience of this novel game control method. The experimental results demonstrate significant improvements in gaming experience, including higher immersion and entertainment, using this user perception-based automated control method. At the same time, it also ensures game safety by preventing potential or significant harm to users due to excessive stimulation during gameplay. Therefore, our research findings have important reference value and practicality for virtual reality game developers and researchers in related fields.