Suggestion Robots for Automated Document Editing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in finding timely human reviewers for documents and may miss or provide inconsistent suggestions for improving collaborative documents stored on cloud computing services.
Innovation Solution
The implementation of suggestion robots within cloud computing services that provide automated editing suggestions based on specific objectives, allowing users to select and activate these robots to generate and review suggested edits, which are displayed alongside human collaborator edits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human reviewers are used to provide suggestions for document improvements, then the suggestions may be insightful and nuanced, but it is difficult to find reviewers in a timely manner and they may provide inconsistent suggestions
Solution Approach 1:
The system enables documents to review themselves by incorporating automated suggestion robots that analyze the document content and generate improvement suggestions without requiring external human reviewers. The robots process documents autonomously, providing consistent and timely suggestions while eliminating the need to search for and coordinate human reviewer availability.
Solution Approach 2:
The patent replaces the mechanical system of human reviewers with an automated robotic system. These suggestion robots use computational algorithms to analyze documents and generate suggestions, substituting human cognitive processes with automated mechanical processes that provide consistent results without time constraints related to human availability.
2Adaptability or versatility
If multiple human collaborators review a document, then diverse perspectives may be obtained, but the review process becomes complex and suggestions may vary in quality
Solution Approach 1:
The suggestion robots are designed with multi-functionality, capable of performing various review tasks including grammar checking, style analysis, consistency verification, and content improvement suggestions. A single robotic system provides diverse perspectives through multiple analysis functions, eliminating the need to coordinate multiple human collaborators while maintaining review versatility.
Solution Approach 2:
The system changes the parameters of the review process by transitioning from human-based subjective evaluation to robot-based objective analysis. The robots use standardized algorithms and criteria to evaluate documents, providing consistent suggestions across different reviews while maintaining adaptability through configurable review parameters and multiple analysis dimensions.
3Productivity
If automated suggestion robots are used to provide editing suggestions, then timely and consistent suggestions are provided, but the system complexity increases
Solution Approach 1:
The automated suggestion system is segmented into multiple independent robots, each specializing in specific review functions such as grammar checking, style analysis, or content verification. This segmentation allows the system to provide comprehensive suggestions through modular components, reducing overall system complexity by breaking down the review process into manageable, specialized units that can operate independently.
Data Source
AI summary
A method for providing automated suggestions in a document stored on a cloud computing service includes providing collaborators with access to the document, who may each insert suggested edits into the document. The cloud computing service provides a plurality of suggestion robots for the collaborators to activate within the document, where each suggestion robot has an associated editing objective. The cloud computing service receives a request from a first collaborator to activate a first suggestion robot and activates the robot to present to the first collaborator a plurality of suggested edits of the document according to the editing objective of the robot, where the plurality of suggested edits by the first suggestion robot are displayed with any suggested edits by the one or more collaborators, and the first collaborator may accept or reject each of the plurality of suggested edits of the robot and the collaborators.