Correlated Task Interface for Cross-User Task Tracking
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Solution Overview
Problem
Existing task management systems struggle to efficiently display and manage complex task information within large organizations, particularly in tracking and aligning tasks across multiple users, leading to inefficiencies and reduced operational efficiency.
Innovation Solution
An information processing method and apparatus that enables displaying user controls for associated tasks, obtaining and correlating task information entries, and filtering or sorting based on predefined correlations to enhance task visibility and alignment, using a task management system with a terminal device, server, and data storage system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all task information entries of all users are displayed on the task interface, then users can view complete task information, but the interface complexity and information overload increase significantly
Solution Approach 1:
The patent extracts and displays only the task information entries that are correlated with the current user's tasks on the task interface, rather than displaying all task information entries of all users. This filtering approach reduces interface complexity while maintaining the completeness of relevant task information.
Solution Approach 2:
The patent applies local quality by differentiating the display of task information based on correlation relationships. Task information entries that are correlated with the current user's tasks are displayed with higher visibility and detail, while non-correlated entries are either filtered out or displayed with reduced prominence, optimizing the interface for the user's specific needs.
2Loss of information
If task information from multiple users is displayed without filtering, then users can see all team tasks, but the difficulty of detecting and measuring relevant tasks increases
Solution Approach 1:
The patent implements a feedback mechanism where the system automatically determines the correlation between task information entries and the current user's tasks, and uses this correlation information to filter and prioritize the display of task information. This feedback loop reduces the difficulty of detecting relevant tasks while maintaining information availability.
Solution Approach 2:
The patent introduces a correlation determination mechanism as an intermediary between the task information database and the user interface. This intermediary filters and processes task information based on correlation relationships, making it easier for users to detect and measure task relevance without losing access to the underlying complete task information.
3Reliability
If users manually track execution status of all operators, then complete monitoring is achieved, but the time and effort required increases significantly
Solution Approach 1:
The patent implements a self-service monitoring system where the task management system automatically tracks and updates the execution status of task information entries based on correlation relationships. Users do not need to manually track each operator's status; instead, the system autonomously monitors and presents relevant execution status information, maintaining monitoring accuracy while significantly reducing the time and effort required.
Data Source
AI summary
The present disclosure provides an image processing method, including: displaying a first task information entry and a user control of a second user associated with the first task information entry on a task interface of a first user; obtaining at least one second task information entry of the second user in response to a preset operation on the user control; displaying a task sub-interface of the second user on the task interface of the first user; and displaying the at least one second task information entry on the task sub-interface of the second user based on a correlation between the at least one second task information entry and the first task information entry.