Abstract: An immersive training system, and method performed with such system, which comprises one or more sensors configured to measure at least one response of a user to a three-dimensional (3D) asset of a 3D rendering that is being rendered on a virtual reality (VR) display, the 3D rendering comprising a plurality of 3D assets. The immersive training system and method compares, in real time, the received measured response of the user to a corresponding predetermined user response value to the 3D asset and, based on the user response comparison and a generated user-customized dynamic decision matrix, modifies at least one of the plurality of 3D assets of the 3D rendering. A customized dynamic decision matrix is generated for each user based on, for example, a corresponding personal performance profile and a neural efficiency score.

Abstract: An immersive ecosystem is provided comprising a VR headset configured to display a 3D rendering to a user and sensor(s) configured to measure a user response to dynamic 3D asset(s) in the 3D rendering. The immersive ecosystem further comprises a processor, an AI engine, and a first non-transitory computer-readable storage medium encoded with program code executable for providing the 3D rendering to the VR headset. The AI engine is operably coupled to a second non-transitory computer-readable storage medium configured to store predetermined response values and time values for dynamic 3D assets. The AI engine comprises a third non-transitory computer-readable storage medium encoded with program code executable for receiving the measured user response, comparing the received user response to the predetermined response value at the predetermined time value, based on the comparison, modifying dynamic 3D asset(s), and communicating the modified dynamic 3D asset(s) to the processor for providing within 3D rendering.