17969303. Dynamically Adjusting Instructions in an Augmented-Reality Experience simplified abstract (GOOGLE LLC)

From WikiPatents
Jump to navigation Jump to search

Dynamically Adjusting Instructions in an Augmented-Reality Experience

Organization Name

GOOGLE LLC

Inventor(s)

Jessica Lee of Brooklyn NY (US)

David Trotter Oleson of Ruschlikon (CH)

Fabian Roth of Zurich (CH)

Nils Grimsmo of Wollerau (CH)

Dynamically Adjusting Instructions in an Augmented-Reality Experience - A simplified explanation of the abstract

This abstract first appeared for US patent application 17969303 titled 'Dynamically Adjusting Instructions in an Augmented-Reality Experience

Simplified Explanation

The abstract describes systems and methods for augmented-reality tutoring using optical character recognition, natural language processing, and augmented-reality rendering to provide real-time notifications for completing tasks. Machine-learned models for quantitative reasoning are utilized, along with different user interface elements.

  • Optical character recognition, natural language processing, and augmented-reality rendering are used for augmented-reality tutoring.
  • Machine-learned models are trained for quantitative reasoning.
  • Different user interface elements are provided at different times.

Potential Applications

This technology could be applied in educational settings for personalized tutoring, training simulations, and interactive learning experiences.

Problems Solved

This technology helps in providing real-time notifications and guidance for completing tasks, improving learning efficiency and effectiveness.

Benefits

The benefits of this technology include enhanced learning experiences, personalized tutoring, and improved task completion rates.

Potential Commercial Applications

Potential commercial applications include educational software development, training programs for various industries, and interactive learning platforms.

Possible Prior Art

One possible prior art could be the use of augmented reality in educational settings for interactive learning experiences.

Unanswered Questions

How does this technology handle privacy and data security concerns?

The article does not address how the system ensures the privacy and security of user data while utilizing machine learning models and personal information.

What are the potential limitations of this technology in terms of accessibility and inclusivity?

The article does not discuss how this technology may be accessible to all users, including those with disabilities, or how it addresses potential biases in the machine-learned models used for tutoring.


Original Abstract Submitted

Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.