Location-Aware Personal Scheduler Proximity Alerting
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Solution Overview
Problem
Existing mobile data processing devices fail to effectively remind users of tasks that require specific locations, leading to forgotten tasks due to proximity issues, busy schedules, or unavailability of prerequisites, resulting in wasted time and missed deadlines.
Innovation Solution
A method utilizing a mobile device to monitor the user's position and alert them when approaching task locations, with dynamically set threshold values based on past behavior and entity density, ensuring timely task reminders and prerequisite checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the scheduler warns the user periodically (every 1-2 hours) until the task is completed, then the user is reminded of the task, but the user may still forget the task until the deadline is very close or miss the task entirely due to being far from the location or busy
Solution Approach 1:
The system performs preliminary action by proactively detecting when the user approaches a task location and issuing a reminder before the deadline arrives. This prevents the user from forgetting the task or being in an unsuitable state to perform it, thereby improving task completion reliability without wasting time.
Solution Approach 2:
The system uses feedback by continuously monitoring the user's position and comparing it with stored task locations. When the user enters a predefined proximity zone, the system provides immediate feedback through a reminder notification, ensuring the user is informed at the optimal moment to perform the task.
2Loss of information
If the user is reminded of tasks periodically regardless of location, then the user is aware of upcoming tasks, but the user cannot perform the task if far away from the location or during holiday periods
Solution Approach 1:
The system applies local quality by making the reminder function location-dependent. Instead of uniform periodic reminders, the system provides reminders only when the user is in the appropriate local context (near the task location), ensuring task information is available at the right place and time for convenient execution.
Solution Approach 2:
The system implements dynamics by making the reminder timing adaptive rather than fixed. The reminder is triggered dynamically based on the user's real-time position relative to the task location, allowing the system to respond flexibly to changing conditions and improve task execution convenience.
3Reliability
If the scheduler continues remembering the task periodically until completed, then the user is kept aware of the task, but the user may be very busy or away on a trip making task performance impossible by the deadline
Solution Approach 1:
The system performs preliminary action by issuing the reminder in advance when the user approaches the location, giving the user timely notice to prepare and perform the task before the deadline. This prevents time loss by avoiding reminders when the user is already away or unavailable.
Solution Approach 2:
The system enables self-service by using the user's own movement patterns and position data to automatically determine when to issue reminders. The system serves itself by leveraging the user's contextual information (location, movement) to intelligently trigger reminders only when the user is in a suitable state to perform the task.
Data Source
AI summary
A personal scheduler is proposed. The scheduler is used to define tasks, each one consisting of an activity to be performed by a defined deadline at a specific location, and appointments, each one consisting of an activity to be performed at a precise time at a specific location. The scheduler warns the user whenever s/he passes close to the location of each task. Moreover, at the morning the scheduler reminds all the tasks that might be performed during the day, according to an expected traveling path of the user based on the appointments to be attended.