Google llc (20240233569). Dynamically Adjusting Instructions in an Augmented-Reality Experience simplified abstract
Dynamically Adjusting Instructions in an Augmented-Reality Experience
Organization Name
Inventor(s)
Jessica Lee of Brooklyn NY (US)
David Trotter Oleson of Ruschlikon (CH)
Dynamically Adjusting Instructions in an Augmented-Reality Experience - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240233569 titled 'Dynamically Adjusting Instructions in an Augmented-Reality Experience
Simplified Explanation: The patent application 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.
Key Features and Innovation:
- Utilizes optical character recognition, natural language processing, and augmented reality rendering.
- Real-time notifications for completing tasks.
- Machine-learned models for quantitative reasoning.
- Different user interface elements provided at different times.
Potential Applications: The technology can be applied in educational settings, training programs, and interactive learning experiences.
Problems Solved: This technology addresses the need for personalized, real-time feedback and guidance in learning environments.
Benefits:
- Enhanced learning experiences.
- Improved task completion efficiency.
- Personalized feedback and guidance.
Commercial Applications: Augmented reality tutoring systems can be used in schools, corporate training programs, and online learning platforms to enhance the learning process and provide real-time assistance to users.
Questions about Augmented Reality Tutoring: 1. How does the use of machine-learned models improve the tutoring experience? 2. What are the potential limitations of using augmented reality in educational settings?
Frequently Updated Research: Researchers are constantly exploring new ways to enhance augmented reality tutoring systems through advancements in machine learning and natural language processing technologies.
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.