Dynamic Task Prioritization by Time and Location
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Solution Overview
Problem
Existing task management systems fail to dynamically adjust task priority based on current time and location, leading to inefficiencies in managing and prioritizing multiple tasks across various aspects of life.
Innovation Solution
A task management system that adjusts task priority dynamically based on current time and location, using modules to input, prioritize, and display tasks, with features to increase priority for due-by tasks as deadlines approach and activate tasks based on user proximity to specific locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If task priority is adjusted dynamically based on current time and location, then task management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic task priority adjustment by continuously monitoring current time and location data, automatically recalculating priority levels based on changing conditions. Tasks transition between priority states dynamically rather than remaining static, allowing the system to adapt to real-time user context without manual intervention.
Solution Approach 2:
The system performs self-adjustment of task priorities by automatically comparing current contextual data (time, location) against task parameters, eliminating the need for continuous user input or manual priority reassignment. The system serves itself by autonomously managing priority calculations and task reordering.
2Measurement precision
If multiple task parameters are monitored and adjusted, then task prioritization accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the task prioritization process into distinct evaluation dimensions (time-based factors, location-based factors, task-specific weights). Each dimension is calculated and weighted separately, then combined to produce the final priority score. This modular approach improves accuracy by considering multiple parameters while managing complexity through structured decomposition.
Solution Approach 2:
The system dynamically changes priority parameters based on current context by adjusting weightings of different task attributes. As time and location data change, the relative importance of various task parameters is recalibrated, allowing accurate prioritization that reflects current user needs and environmental conditions.
Data Source
AI summary
Tasks may be prioritized based on dynamic priority adjustments, which may adjust the priority based on time and/or location. Task data may include task type, completion date, task priority, and task location. The task type may be a due-by task (which can be adjusted in priority over time, increasing in priority as the completion date approaches) or a do-on task (which may be a priority upon the completion date). Tasks having a location may be prioritized/activated based on a user's proximity to the task location, and may be deactivated when the distance from the task location exceeds a predetermined threshold. Tasks may be displayed based on the adjusted task priority (and, if appropriate, proximity to the task location). Alerts may be generated based on the adjusted task priority (and proximity to the task location). Tasks may be grouped for display based on category.