Smart Location-Based Reminders for Opportune Delivery
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Solution Overview
Problem
Location-based reminders often fail to be noticed by users as they are triggered at inconvenient times, such as when a user enters a geo-fence, but is not in a position to address the reminder.
Innovation Solution
Implementing a system that uses motion and input sensors to determine when a user has arrived and settled at a location, allowing for delayed reminders to be triggered at a more opportune time, rather than solely based on crossing a geo-fence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a reminder is triggered when the mobile device crosses a geo-fence, then the reminder is provided immediately, but the user may not be in a position to see or use the reminder
Solution Approach 1:
The system performs preliminary detection of location entry, then waits for additional conditions (device stationary, user interaction) before triggering the reminder. This preliminary action phase allows the system to prepare for reminder delivery only when optimal conditions are met, resolving the contradiction between immediate delivery and user readiness.
Solution Approach 2:
The system dynamically adjusts the reminder trigger conditions based on real-time sensor data. Instead of a fixed trigger at geo-fence crossing, the system monitors device motion state, location stability, and user interaction patterns to dynamically determine the optimal moment for reminder delivery, ensuring both timeliness and user availability.
2Speed
If a reminder is provided immediately upon geo-fence crossing, then the reminder response is fast, but the reminder is often overlooked by the user
Solution Approach 1:
The system incorporates feedback loops that continuously monitor device state and user behavior patterns. Sensor data about device motion, location stability, and interaction history provides feedback to adjust trigger timing, ensuring reminders are delivered at moments when users are most likely to notice and act on them, thereby improving reliability without sacrificing speed.
Solution Approach 2:
The system changes multiple parameters simultaneously - not just timing, but also trigger conditions based on device motion state, location stability thresholds, and user interaction patterns. By adjusting these parameters dynamically, the system achieves both fast response and high reliability in reminder delivery.
3Measurement precision
If the system uses additional sensors to determine settlement at a location, then the reminder timing is more accurate, but the device complexity increases
Solution Approach 1:
The system leverages the multi-functionality of existing device sensors, using accelerometers, gyroscopes, and location services originally designed for other purposes (motion tracking, navigation) to detect settlement states. This approach achieves high measurement precision without adding dedicated hardware, thereby minimizing the increase in device complexity.
Solution Approach 2:
The system uses the device's own existing sensor suite to detect its own settlement state, eliminating the need for external detection equipment. The device self-monitors its motion patterns, location changes, and interaction behavior to determine when it has settled at a location, achieving accurate detection while avoiding additional hardware complexity.
Data Source
AI summary
A method and device for providing a reminder to a user of a mobile device are provided. A location of the mobile device is monitored to identify whether the first geographical area is triggered by the mobile device crossing a first boundary of the first geographical area. After the mobile device crosses the first boundary the first location-based reminder is identified and a state of the mobile device is determined. The first location-based reminder can be provided to the user when an opportune event occurs.