Adaptive Task Scheduling by User Proficiency
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Solution Overview
Problem
Existing scheduling tools fail to optimize the execution of tasks within task groups forming a task flow, as they do not automatically adjust based on the user's skill level or allow for efficient task distribution among users.
Innovation Solution
A scheduling supporting method that stores task information and subtask groups with multiple stages, using a processor to present appropriate subtasks based on user proficiency, updating task granularity and resource allocation dynamically based on execution results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If task details are presented using existing methods, then users can check task information, but it is difficult to optimize the execution of tasks in each task group forming a task flow
Solution Approach 1:
The patent segments tasks into hierarchical structures (task groups containing multiple tasks) and further divides tasks into subtasks with multiple stages. This segmentation enables optimized execution within task groups by allowing independent management and scheduling of subtasks according to user proficiency, without requiring complex overall system restructuring.
Solution Approach 2:
The patent dynamically adjusts the presentation of subtasks based on user proficiency levels. The system automatically selects and presents subtasks at appropriate stages according to each user's skill level, making the scheduling system adaptive and optimized for different users without requiring manual configuration of complex scheduling rules.
2Ease of operation
If input supporting information is displayed at each input stage, then user input is supported, but automatic selection based on user skill is not enabled
Solution Approach 1:
The patent implements feedback mechanisms that track user proficiency levels based on task completion history and performance. This feedback enables the system to automatically determine appropriate subtask stages for presentation, combining ease of operation with automatic selection based on user skill without requiring manual intervention.
Solution Approach 2:
The system performs self-service by automatically evaluating user proficiency and selecting appropriate subtasks without requiring users to manually configure or select task stages. The system serves itself by adapting to user needs based on observed performance, enabling both ease of operation and automation simultaneously.
3Adaptability or versatility
If executant skill information is used to recommend suitable users for tasks, then user recommendation is improved, but a single user cannot perform tasks in each task group forming a task flow
Solution Approach 1:
The patent adds a temporal dimension to task management by introducing multiple stages within subtasks. This allows a single user to progress through different stages of tasks in a task group over time, enabling one user to complete entire task flows by working through staged subtasks sequentially rather than requiring multiple users simultaneously.
Data Source
AI summary
A scheduling supporting method includes: storing one or more sets of task information and subtask groups each of which corresponds to one set of task information and which is structured to have one or more stages, by a processor; and presenting, at time of presenting each of a plurality of tasks, from among a subtask group corresponding to each task, a subtask of a preset stage according to structure, by the processor.