20240082641.DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS simplified abstract (apple inc.)
Contents
- 1 DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS - 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
DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS
Organization Name
Inventor(s)
Jay Kriz Blahnik of Venice CA (US)
Aaron P. Thompson of San Francisco CA (US)
David S. Clark of Corona Del Mar CA (US)
Julie A. Arney of Los Gatos CA (US)
Brian R. Drell of Felton CA (US)
Keith P. Avery of Seattle WA (US)
Kevin M. Lynch of Woodside CA (US)
DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240082641 titled 'DETERMINATION AND PRESENTATION OF CUSTOMIZED NOTIFICATIONS
Simplified Explanation
The patent application abstract describes a system where notifications are generated to instruct user behavior based on accessed fitness data to determine if a user's fitness goal is likely to be achieved.
- Notifications are presented to users when appropriate based on their current fitness data.
- The system analyzes the data to determine the likelihood of achieving a user's fitness goal.
- If the goal is not likely to be achieved, a notification is generated and presented on the user's device.
Potential Applications
This technology can be applied in fitness apps, wearable devices, and health monitoring systems to provide personalized feedback and guidance to users based on their fitness data.
Problems Solved
This technology addresses the challenge of keeping users motivated and on track towards their fitness goals by providing timely notifications and recommendations.
Benefits
Users can receive personalized feedback and guidance to help them stay motivated and focused on achieving their fitness goals, leading to improved overall health and well-being.
Potential Commercial Applications
This technology can be utilized in commercial fitness apps, wearable devices, and health monitoring systems to enhance user engagement and retention by providing valuable insights and recommendations.
Possible Prior Art
Prior art may include existing fitness apps and wearable devices that provide notifications and feedback based on user data to help them achieve their fitness goals.
Accessing and analyzing user fitness data raises concerns about data privacy and security, as sensitive information about an individual's health and fitness habits is involved. Proper measures must be taken to ensure the protection of this data and user consent should be obtained before accessing and using it.
How can the accuracy of the notifications generated by the system be ensured to effectively guide users towards achieving their fitness goals?
The system can incorporate machine learning algorithms and user feedback mechanisms to continuously improve the accuracy of the notifications generated. Regular updates and adjustments based on user responses and outcomes can help refine the system's recommendations over time.
Original Abstract Submitted
notifications for instructing user behavior can be determined and presented when appropriate. current fitness data are accessed. this data is used to determine whether a user fitness goal is likely to be achieved. if not, a notification may be determined and presented at a user device.
