18521402. DYNAMICALLY ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES simplified abstract (Google LLC)
Contents
- 1 DYNAMICALLY ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DYNAMICALLY ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES - 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 ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES
Organization Name
Inventor(s)
Vikram Aggarwal of Palo Alto CA (US)
Moises Morgenstern Gali of San Francisco CA (US)
DYNAMICALLY ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18521402 titled 'DYNAMICALLY ADAPTING PROVISION OF NOTIFICATION OUTPUT TO REDUCE USER DISTRACTION AND/OR MITIGATE USAGE OF COMPUTATIONAL RESOURCES
Simplified Explanation
The patent application describes a system for dynamically adapting the provision of notification output to reduce distractions and/or mitigate the usage of computational resources. An automated assistant application predicts the user's level of engagement and determines how to provide output based on this prediction.
- Predicts user engagement level
- Determines provision of output based on predicted engagement level
- Suppresses output provision if engagement level is low
- Provides condensed version of notifications
- Automatically responds to notifications
- Selects output modality based on notification
Potential Applications
This technology could be applied in various fields such as personal assistant applications, productivity tools, and communication platforms.
Problems Solved
This technology addresses the issue of information overload and distractions caused by notifications, by intelligently adapting the provision of output based on the user's engagement level.
Benefits
- Reduced distractions for users - Efficient usage of computational resources - Improved user experience with personalized output provision
Potential Commercial Applications
- Personal assistant applications - Productivity tools for professionals - Communication platforms for businesses
Possible Prior Art
One possible prior art could be the concept of adaptive notifications in mobile devices, where notifications are prioritized based on user behavior and preferences.
Unanswered Questions
How does the system determine the user's level of engagement accurately?
The system uses various data points such as user activity, interaction with notifications, and historical engagement patterns to predict the user's level of engagement. However, the exact algorithms and methods used for this prediction are not specified in the abstract.
What types of notifications are considered for dynamic adaptation in the system?
The abstract mentions adapting the provision of output based on received notifications, but it does not specify the types of notifications that are considered for this dynamic adaptation. It would be interesting to know if the system differentiates between different types of notifications (e.g., messages, alerts, reminders) in its decision-making process.
Original Abstract Submitted
Dynamically adapting provision of notification output to reduce distractions and/or to mitigate usage of computational resources. In some implementations, an automated assistant application predicts a level of engagement for a user and determines, based on the predicted level of engagement (and optionally future predicted level(s) of engagement), provisioning (e.g., whether, when, and/or how) of output that is based on a received notification. For example, the automated assistant application can, based on predicted level(s) of engagement, determine whether to provide any output based on a received notification, determine whether to suppress provision of output that is based on the received notification (e.g., until a later time with a decreased predicted level of engagement), determine whether to provide output that is a condensed version of the received notification, determine whether to automatically respond to the notification, and/or select an output modality for providing output that is based on the received notification.
