Google llc (20240135835). Dynamically Adjusting Instructions in an Augmented-Reality Experience simplified abstract
Contents
- 1 Dynamically Adjusting Instructions in an Augmented-Reality Experience
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Dynamically Adjusting Instructions in an Augmented-Reality Experience - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
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 20240135835 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 a variety of user interface elements.
- Optical character recognition, natural language processing, and augmented-reality rendering are used for augmented-reality tutoring.
- Real-time notifications are provided for completing tasks.
- Machine-learned models are trained for quantitative reasoning.
- Different user interface elements are presented at different times.
Potential Applications
The technology could be applied in educational settings for personalized tutoring, in professional training programs for hands-on learning, and in gaming for interactive experiences.
Problems Solved
This technology helps in providing real-time assistance and feedback to users, enhances learning experiences through augmented reality, and improves engagement and retention of information.
Benefits
The benefits of this technology include personalized learning experiences, improved task completion rates, enhanced user engagement, and efficient feedback mechanisms.
Potential Commercial Applications
Potential commercial applications include educational software, training programs for various industries, and interactive gaming experiences.
Possible Prior Art
One possible prior art could be the use of augmented reality in educational settings for interactive learning experiences. Another could be the use of machine learning models for personalized tutoring.
What are the potential limitations of this technology in real-world applications?
There may be challenges in integrating this technology with existing educational systems, ensuring the accuracy and reliability of machine-learned models, and addressing privacy concerns related to data processing.
How scalable is this technology for widespread adoption across different industries?
The scalability of this technology may depend on factors such as the cost of implementation, the ease of integration with existing systems, and the adaptability of the technology to different use cases and industries. Further research and development may be needed to optimize scalability.
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.
