System and method for dynamic error resolution in extended reality using machine learning
Abstract:
Systems, computer program products, and methods are described herein for dynamic error resolution in an extended reality environment. The present invention identifies user errors in real time based on user selections in an extended reality (XR) environment. In this regard, the present invention focuses on electronic applications (and the electronic work products/electronic data hosted thereon) within an XR environment and uses machine learning processes to identify real time user errors. The invention may then use a second set of machine learning processes to create, in real-time, digital support content which is visible via an XR platform (accessible using a virtual/augmented/mixed reality device). As such, the system may provide specific improvements over prior systems by automatically providing users with custom error resolution support in real time.
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