Location-Based Reminder Timing Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing email systems generate reminders for events at fixed times regardless of the user's location or traffic conditions, which may not be optimal for timely arrival at the event location.
Innovation Solution
A computer-implemented method that identifies scheduled appointments, determines the user's current location, and adjusts reminder times based on the location of the event and traffic conditions, providing directions to ensure timely arrival.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed time reminders are sent to users, then the reminder system is simple and reliable, but the reminder timing does not account for user location or traffic conditions resulting in suboptimal arrival timing
Solution Approach 1:
The reminder system transitions from static fixed-time notifications to dynamic location-based reminders. The system continuously monitors user location via GPS and adjusts reminder timing based on real-time position data, distance to event location, and estimated travel time, making the reminder system adaptive to changing conditions
Solution Approach 2:
The system implements feedback loops by continuously tracking user location and comparing it with the event location. Based on this feedback, the system calculates remaining travel time and adjusts or sends additional reminders accordingly, creating a closed-loop control system that adapts to actual user progress
Solution Approach 3:
The reminder timing parameter is changed from a fixed value to a dynamic value based on location. The system calculates reminder timing using variables such as user coordinates, event coordinates, distance, and estimated travel time, transforming the reminder system into a parameter-driven adaptive mechanism
2Measurement precision
If location-based reminders are implemented, then reminder timing accuracy improves, but the system complexity and computational requirements increase
Solution Approach 1:
The system leverages the mobile device's built-in GPS and location services to automatically track user position without requiring external tracking infrastructure. The device serves itself by utilizing its own hardware capabilities for location determination, reducing overall system complexity
Solution Approach 2:
The location tracking system serves multiple functions: determining user position for reminder timing, calculating distance to event location, estimating travel time, and providing route information. This multi-functionality justifies the added complexity by delivering comprehensive location-aware services
3Loss of time
If reminders are sent based on real-time location tracking, then user arrival timing is optimized, but energy consumption increases due to continuous GPS usage
Solution Approach 1:
Instead of continuous location monitoring, the system uses periodic location checks at intervals appropriate for the user's movement and event proximity. The tracking frequency is adjusted based on whether the user is moving toward the event, stationary, or far from the location, reducing unnecessary energy consumption
Solution Approach 2:
The system calculates estimated travel time in advance based on current location and event coordinates, then uses this pre-calculated information to determine appropriate reminder timing. This preliminary calculation reduces the need for frequent real-time updates, lowering energy requirements
Data Source
AI summary
A computer-implemented method and computing system for identifying, using one or more computing devices, an appointment scheduled for at least one user. Some embodiments may include determining, using the one or more computing devices, a present location for the at least one user and generating, using the one or more computing devices, a reminder for the appointment based upon, at least in part, the present location.