Apple inc. (20240361737). Context Driven Routine Prediction Assistance simplified abstract
Contents
Context Driven Routine Prediction Assistance
Organization Name
Inventor(s)
Lukas M. Marti of Santa Clara CA (US)
Michael P. Dal Santo of San Francisco CA (US)
Context Driven Routine Prediction Assistance - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240361737 titled 'Context Driven Routine Prediction Assistance
Simplified Explanation:
This patent application describes a system where a mobile device can provide predictive user assistance based on sensor readings, independent of the device's location. The device can determine the context of an event, store it along with the event label, and later match new sensor readings to the stored context to predict or recognize user actions.
- The mobile device can provide predictive user assistance based on sensor readings.
- The system can determine the context of an event and store it along with the event label.
- New sensor readings can be matched with stored context to predict or recognize user actions.
- User assistance can be provided based on the prediction or recognition.
- The label can be provided automatically by the mobile device or an external system without user input.
Potential Applications:
This technology can be applied in various fields such as:
- Personalized user assistance in mobile applications.
- Predictive maintenance in industrial settings.
- Healthcare monitoring and assistance.
- Smart home automation.
- Enhanced user experience in gaming and virtual reality.
Problems Solved:
This technology addresses the following issues:
- Providing proactive user assistance without explicit user input.
- Improving the accuracy of predicting user actions.
- Enhancing the efficiency of performing tasks based on context.
- Streamlining user interactions with mobile devices.
Benefits:
The benefits of this technology include:
- Increased user productivity and efficiency.
- Enhanced user experience through personalized assistance.
- Improved task automation and decision-making.
- Potential for reducing errors and optimizing resource utilization.
Commercial Applications:
Title: Predictive User Assistance System for Mobile Devices
This technology has significant commercial potential in industries such as:
- Mobile app development for personalized user experiences.
- Industrial IoT for predictive maintenance and monitoring.
- Healthcare technology for remote patient monitoring.
- Smart home automation systems.
- Gaming and virtual reality applications for enhanced user engagement.
Questions about Predictive User Assistance System for Mobile Devices:
1. How does this technology improve user interactions with mobile devices?
- This technology enhances user interactions by providing predictive user assistance based on sensor readings, improving efficiency and user experience.
2. What are the potential applications of this system beyond mobile devices?
- This system can be applied in various fields such as industrial IoT, healthcare monitoring, smart home automation, and gaming for predictive maintenance, personalized assistance, and enhanced user experience.
Original Abstract Submitted
a mobile device can provide predictive user assistance based on various sensor readings, independently of or in addition to a location of the mobile device. the mobile device can determine a context of an event. the mobile device can store the context and a label of the event on a storage device. the label can be provided automatically by the mobile device or by the external system without user input. at a later time, the mobile device can match new sensor readings with the stored context. if a match is found, the mobile device can predict that the user is about to perform the action or recognize that the user has performed the action again. the mobile device can perform various operations, including, for example, providing user assistance, based on the prediction or recognition.
