18579756. Machine Learning for Automated Navigation of User Interfaces simplified abstract (Google LLC)
Contents
Organization Name
Inventor(s)
This abstract first appeared for US patent application 18579756 titled 'Machine Learning for Automated Navigation of User Interfaces
Simplified Explanation:
The framework outlined in the patent application allows for the creation of agents capable of user interface (UI) navigation, utilizing neural networks that learn from human demonstrations.
Key Features and Innovation:
- Creation of UI navigation agents with the power of neural networks
- Agents capable of learning from human demonstrations
- Reliable framework for building agents for UI navigation
Potential Applications: This technology could be applied in various industries such as:
- Customer service
- Virtual assistants
- E-commerce platforms
Problems Solved: The technology addresses the following issues:
- Improving user experience in navigating UIs
- Enhancing efficiency in user interactions with interfaces
Benefits: The benefits of this technology include:
- Enhanced user experience
- Increased efficiency in UI navigation
- Personalized interactions based on human demonstrations
Commercial Applications: Potential commercial uses of this technology include:
- Integration into customer service platforms
- Development of advanced virtual assistants
- Implementation in e-commerce websites for improved user experience
Questions about UI Navigation Agents: 1. How does this technology improve user interactions with interfaces? 2. What are the key advantages of using neural networks for UI navigation agents?
Original Abstract Submitted
Provided is a framework to reliably build agents capable of user interface (UI) navigation. For example, example implementations create UI navigation agents with the power of neural networks that learn from human demonstrations.
