Smart Reminder System with Travel Time Adjustment
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Solution Overview
Problem
Current mobile computing devices' reminder systems cannot adequately account for travel time and external circumstances, such as traffic conditions, when notifying users of upcoming appointments, leading to potentially inadequate or conflicting scheduling.
Innovation Solution
The system determines the travel time between the user's and appointment locations using global address lists, GPS, or map services, and adjusts reminder times based on this information, as well as incorporates alert services for real-time updates on traffic and weather, to generate notifications that consider travel time and potential scheduling conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a default reminder time is used, then the reminder system is simple to operate, but it cannot account for travel time and external circumstances
Solution Approach 1:
The system performs preliminary actions by automatically determining user location, appointment location, and calculating travel time estimates before setting the reminder time. It proactively retrieves location information from address lists and map services, and obtains alert subscriptions for traffic and weather conditions in advance, eliminating the need for manual user input and enabling adaptive reminder scheduling without increasing operational complexity
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring alert conditions such as traffic problems, flight delays, and weather conditions that affect travel time. This feedback loop allows the reminder time to be dynamically adjusted based on real-time external circumstances, enabling the system to adapt to changing conditions while maintaining automated operation
2Measurement precision
If reminder time is adjusted based on travel time, then notification timing is more accurate, but it requires accessing multiple data sources
Solution Approach 1:
The system achieves multi-functionality by integrating multiple data retrieval capabilities into a single automated process. It simultaneously accesses global address lists, local address books, map services, and alert services through unified interface functions, allowing the system to obtain location information and travel time estimates without requiring separate manual operations for each data source
Solution Approach 2:
The system performs self-service by automatically retrieving all necessary location information and travel time data without user intervention. It autonomously queries address lists, accesses map services, and subscribes to alert services, eliminating the need for users to manually input locations or configure data sources while maintaining high reminder time accuracy
3Reliability
If alerts are integrated to modify reminder times, then scheduling reliability improves, but system complexity increases
Solution Approach 1:
The system merges multiple independent functions into a unified reminder management process. It combines location determination, travel time estimation, alert subscription management, and reminder time calculation into a single integrated system that operates automatically, improving scheduling reliability while presenting a simple interface to users
Solution Approach 2:
The system employs intermediary functions that act as mediators between different data sources and the reminder scheduling mechanism. These intermediary components handle the complexity of accessing multiple services and processing alert information, translating external data into actionable reminder time adjustments without exposing the complexity to users
Data Source
AI summary
Systems and methods for scheduling appointment reminders are based on multiple conditions including estimated travel time. An estimate of the time needed to travel between the user's location and the location of the appointment can be determined by retrieving location information from a global address list (GAL), a local address book of a calendaring application, from a map service, or other location determining technology. Users can subscribe to alert service to receive information regarding recent events such as traffic problems, flight delays, weather conditions, etc., which is then used in setting or modifying reminder times. Notifications can be generated for timing conflicts based on the estimated travel time. If the estimated travel time would require the user to leave a previous appointment early, or be late for a subsequent appointment, a notification can be generated to the user.