Collaborative Content Voting Interface for Faster Group Consensus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing productivity applications do not provide a satisfactory user experience when group consensus is needed in a multi-user collaborative workspace, leading to inefficient manual editing and excessive computing resource utilization due to uncoordinated user contributions and the need for multiple communication channels.
Innovation Solution
A computationally efficient human-computer interface that allows users to vote on content portions using input gestures, with a server analyzing these votes to modify content based on priority, potentially incorporating machine learning and user context, thereby reducing the need for manual editing and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple communication channels are used for user coordination, then consensus can be achieved, but computing resource utilization increases
Solution Approach 1:
The patent combines multiple communication channels and coordination efforts into a single unified voting mechanism. Users cast votes on content portions through one interface, and the server consolidates all voting data to determine consensus, eliminating the need for multiple separate communication channels and reducing computing resource utilization while maintaining reliability.
Solution Approach 2:
The server acts as an intermediary that receives votes from multiple users, analyzes the voting data to determine consensus, and automatically modifies content based on the results. This intermediary process replaces multiple direct user-to-user communication channels, achieving consensus efficiently while reducing overall computing resource consumption.
2Ease of operation
If users manually edit content to reach consensus, then content can be modified, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of voting data to determine consensus before any content modification occurs. The server analyzes all votes, identifies the winning content portion, and only then modifies the content accordingly. This preliminary action eliminates the need for users to manually coordinate and edit content step-by-step, significantly reducing time consumption while maintaining ease of operation.
Solution Approach 2:
The system enables self-service content modification through automated voting and consensus determination. Users simply cast votes, and the server automatically processes the voting data and modifies the content based on the determined consensus, eliminating the need for users to manually edit content and reducing time consumption significantly.
3Adaptability or versatility
If uncoordinated user contributions are allowed, then collaboration is flexible, but computing resource utilization increases due to conflicts
Solution Approach 1:
The system implements a feedback mechanism where users cast votes on content portions, the server analyzes the voting data to determine consensus, and then automatically modifies content based on the results. This feedback loop coordinates user contributions efficiently, maintaining collaboration flexibility while reducing computing resource utilization by preventing conflicts through automated consensus determination.
4Reliability
If users coordinate through shared communication sessions, then consensus can be reached, but device complexity increases
Solution Approach 1:
The patent extracts the coordination function from complex shared communication sessions and implements it as a simple voting mechanism. Users vote on content portions through a straightforward interface, and the server handles the complex analysis and consensus determination, reducing device complexity while maintaining reliable consensus coordination.
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
Technologies are disclosed that enable a computing system to collect and process user preferences regarding content that is shared in a collaborative workspace. By the use of an input gesture, individual users of a multi-user sharing session can provide a vote for a portion of content indicating that they favor ("up-vote") or disfavor ("down-vote") the content. The system can collect and analyze the votes from each user. The system can then modify the content based on the votes. Modifications to the content can include, but are not limited to, rearranging selected portions of the content, generating annotations, generating one or more UI elements that bring focus to portions of the content, identifying high-priority content or low-priority content, or deleting portions of the content.