Google llc (20240202553). INFERRED USER INTENTION NOTIFICATIONS simplified abstract
Contents
INFERRED USER INTENTION NOTIFICATIONS
Organization Name
Inventor(s)
Oren Naim of Cupertino CA (US)
Tomer Amarilio of Palo Alto CA (US)
Dennis Ai of Mountain View CA (US)
INFERRED USER INTENTION NOTIFICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202553 titled 'INFERRED USER INTENTION NOTIFICATIONS
Simplified Explanation: The patent application describes a method where a computing system receives context information associated with a device, infers the user's action based on this information, determines if the action is advisable using stored data and rules, and notifies the user if the action is not advisable.
Key Features and Innovation:
- Context-based inference of user actions
- Utilization of stored attribute information and rules to determine advisability of actions
- Notification system to alert users of inadvisable actions
Potential Applications: This technology could be applied in various fields such as personal digital assistants, smart home devices, and cybersecurity systems to enhance user experience and safety.
Problems Solved: This technology addresses the issue of users unknowingly taking actions that may not be advisable, leading to potential risks or negative consequences.
Benefits:
- Improved user decision-making
- Enhanced user safety and security
- Personalized notifications based on context
Commercial Applications: The technology could be utilized in the development of smart devices, digital assistants, and security systems to provide users with real-time feedback on their actions.
Prior Art: Readers can explore prior art related to context-based decision-making systems, user action inference, and notification systems in the field of artificial intelligence and human-computer interaction.
Frequently Updated Research: Researchers are continually exploring advancements in context-aware computing, user behavior analysis, and decision support systems to further enhance the capabilities of similar technologies.
Questions about Context-Based Decision-Making: 1. How does the technology ensure the accuracy of inferring user actions based on context? 2. What are the potential privacy implications of a system that analyzes user actions and provides notifications based on inferred advisability?
Question 1: How does the technology ensure the accuracy of inferring user actions based on context?
Answer 1: The technology utilizes advanced algorithms and machine learning models to analyze context information accurately and infer user actions based on patterns and data correlations.
Question 2: What are the potential privacy implications of a system that analyzes user actions and provides notifications based on inferred advisability?
Answer 2: There may be concerns about data privacy and security when a system analyzes user actions, but measures can be implemented to ensure user data is protected and used responsibly.
Original Abstract Submitted
in one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.
