Unified Conversation Threading Across Mixed Media Types
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems are inefficient as they require users to sift through multiple media types (email, voice mail, text messages) to follow a conversation, leading to repetitive content and inefficiency in keeping up with discussions.
Innovation Solution
A system that combines multiple media types into a single document, identifying and removing repetitive content, and allowing for private branches, creating a comprehensive and concise representation of a conversation that can be shared among participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple media types (email, voice mail, text messages) are used to communicate in a conversation, then communication completeness and participant preference are improved, but the complexity of tracking and reviewing the conversation increases significantly
Solution Approach 1:
The patent combines multiple media types (email, voice mail, text messages) into a single unified conversation thread. The system aggregates messages from different sources and presents them as one cohesive conversation, allowing users to review all communications in one place rather than switching between multiple applications and media types.
Solution Approach 2:
The patent introduces a server as an intermediary that collects, processes, and consolidates messages from multiple media types. This server acts as a mediator between various communication sources and the user, automatically organizing and presenting the consolidated conversation without requiring manual intervention from the user to track each message type separately.
2Loss of information
If all messages in a conversation thread are reviewed to ensure no content is missed, then communication understanding is improved, but time consumption and inefficiency increase
Solution Approach 1:
The patent extracts and removes repetitive content from conversation threads. When the same information appears in multiple messages, the system identifies and eliminates the redundancy, presenting only the unique or new information to the user. This allows users to understand the conversation without repeatedly reading or listening to the same content.
Solution Approach 2:
The patent discards repetitive or redundant messages while preserving the essential information. The system analyzes the conversation thread, identifies duplicate content, and removes it, thereby reducing the volume of messages users must review while maintaining complete understanding of the conversation's key points.
3Productivity
If repetitive content is removed from conversation threads, then review efficiency is improved, but the risk of missing important information increases
Solution Approach 1:
The patent applies selective processing to different parts of the conversation thread. Rather than uniformly removing or keeping all messages, the system analyzes each message's content and determines whether it is repetitive or contains unique information. This local quality approach ensures that only truly redundant content is removed while preserving all essential information.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously analyzes the consolidated conversation thread and adjusts its content selection based on information redundancy detection. The system provides feedback to itself about what content has already been presented and what new information remains, ensuring that efficiency improvements do not compromise information completeness.
Data Source
AI summary
The present invention provides methods and systems for automatically threading multiple media into a single document. More specifically, a single conversation may be distributed among a number of different contacts and replies to those contacts. The distributed contacts and the corresponding replies may be chronologically ordered and analyzed. Then the repetitive portions of the documents and replies are removed. After repetitive portions of the conversation have been removed, the multiple documents are threaded together as a single representation of the conversation.