View source for 20240036967. SYSTEM AND METHOD FOR DYNAMIC ERROR RESOLUTION IN EXTENDED REALITY USING MACHINE LEARNING simplified abstract (Bank of America Corporation)

=SYSTEM AND METHOD FOR DYNAMIC ERROR RESOLUTION IN EXTENDED REALITY USING MACHINE LEARNING=


==Organization Name==

[[:Category:Bank of America Corporation|Bank of America Corporation]]


[[Category:Bank of America Corporation]]

==Inventor(s)==

[[:Category:Naga Vamsi Krishna Akkapeddi of Charlotte NC (US)|Naga Vamsi Krishna Akkapeddi of Charlotte NC (US)]][[Category:Naga Vamsi Krishna Akkapeddi of Charlotte NC (US)]]

==SYSTEM AND METHOD FOR DYNAMIC ERROR RESOLUTION IN EXTENDED REALITY USING MACHINE LEARNING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240036967 titled 'SYSTEM AND METHOD FOR DYNAMIC ERROR RESOLUTION IN EXTENDED REALITY USING MACHINE LEARNING

==Simplified Explanation==

The present invention is a system, computer program products, and methods for dynamic error resolution in an extended reality (XR) environment. It focuses on identifying user errors in real-time based on their selections in an XR environment and uses machine learning processes to identify these errors. It then creates digital support content in real-time, which is visible through an XR platform accessed using a virtual/augmented/mixed reality device. This system provides users with custom error resolution support in real-time.

* The invention focuses on electronic applications within an XR environment and uses machine learning processes to identify real-time user errors.
* It creates digital support content in real-time, visible through an XR platform accessed using a virtual/augmented/mixed reality device.
* The system automatically provides users with custom error resolution support in real-time.

Potential applications of this technology:
* Error resolution support in XR gaming applications.
* Real-time error identification and resolution in XR training simulations.
* Assistance in XR design and development, identifying and resolving errors in real-time.

Problems solved by this technology:
* Users often encounter errors in XR environments that can disrupt their experience.
* Identifying and resolving errors in real-time can be challenging and time-consuming.
* Providing custom error resolution support can improve user satisfaction and reduce frustration.

Benefits of this technology:
* Real-time error resolution support enhances the user experience in XR environments.
* Machine learning processes enable accurate and efficient identification of user errors.
* Custom error resolution support improves user satisfaction and reduces the need for external assistance.


==Original Abstract Submitted==

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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