Content Workflow Selection by Interaction Attribute Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity of computing environments with numerous users, content objects, and third-party applications necessitates significant human interaction for workflow selection and execution, leading to a burden on users and computing resources.
Innovation Solution
Techniques for analyzing attributes associated with interactions with content objects to automatically select and execute workflows, eliminating the need for human intervention through data organization, communication paths, and module-to-module interrelationships within collaboration systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human users manually analyze attributes and select workflows, then workflow execution accuracy is improved, but user burden and computing resource consumption increase
Solution Approach 1:
The system enables self-service by implementing an automated workflow selection mechanism that independently analyzes content object attributes and selects appropriate workflows without human intervention. The processor automatically performs attribute analysis, workflow selection, and execution initiation, eliminating the need for users to manually analyze attributes and select workflows, thereby reducing user burden while maintaining execution accuracy.
Solution Approach 2:
The patent replaces the mechanical human decision-making process with an automated computational system. The processor-based attribute analysis and workflow selection mechanism substitutes human cognitive operations with algorithmic processing, automatically evaluating content object attributes against workflow criteria and selecting appropriate workflows without human intervention.
2Measurement precision
If human users manually select and interact with workflows, then workflow selection precision is improved, but computing resource consumption and time loss increase
Solution Approach 1:
The system performs preliminary action by pre-defining workflow selection criteria and attributes that characterize different workflows. When a content object is uploaded or created, the system automatically evaluates the object's attributes against the pre-defined criteria and initiates the appropriate workflow without requiring human analysis or selection, thereby eliminating time loss while maintaining selection precision.
Solution Approach 2:
The patent replaces the mechanical human workflow selection process with an automated computational system. The processor-based attribute analysis and workflow selection mechanism substitutes human cognitive operations with algorithmic processing, automatically evaluating content object attributes against workflow criteria and selecting appropriate workflows without human intervention, thereby eliminating time loss while maintaining precision.
3Adaptability or versatility
If multiple workflows are available for different content objects, then system adaptability is improved, but device complexity increases
Solution Approach 1:
The system applies segmentation by dividing workflows into distinct, independently selectable options, each characterized by specific attributes and criteria. The workflow manager segments the workflow selection process into: (1) defining multiple workflows with distinct attributes, (2) analyzing content object attributes, (3) matching objects to workflows based on attribute criteria, and (4) initiating the selected workflow. This segmentation manages complexity by organizing the multi-workflow system into modular, manageable components.
Solution Approach 2:
The system implements dynamics by making workflow selection adaptive and context-dependent rather than static. The automated selection mechanism dynamically evaluates content object attributes and selects the most appropriate workflow based on current conditions, allowing the system to adapt to different content objects and scenarios while managing complexity through algorithmic decision-making.
Data Source
AI summary
Methods, systems and computer program products for content management systems. In a computing environment having multiple interconnected computer systems, one or more network communication links between a first computer system that hosts a first application and a second computer system that hosts one or more second applications are established. The first computer system hosts a plurality of shared content objects that can be operated over by any second applications that are interfaced with the first application. Particular interaction events over a shared content object take place at the second applications and/or at the interfaces between the first and second applications. Such particular interaction events are recorded as they occur, after which, based on event attributes associated with the particular interaction events, at least one workflow of the first application is selected. The selected workflow of the first application is executed to perform operations over the shared content object.


