Transcript And Caption Integration for Continuous Chat Conversations
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Solution Overview
Problem
Existing communication systems fail to seamlessly integrate audio/video conversations with chat sessions, leading to fragmented discussions, inefficiencies, and excessive resource usage due to manual switching between modalities.
Innovation Solution
A system that allows users to quote and reply directly from transcriptions or captions to chat messages, using a multi-dimensional data structure for context tracking and automated integration, enabling efficient and context-aware messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually switch between transcription/caption mode and chat mode to share information, then information sharing between modes is enabled, but user productivity decreases and conversation continuity is lost
Solution Approach 1:
The patent merges transcription/caption functionality with chat messaging functionality into a unified interface. Users can directly quote and reply to transcript/caption content within the chat interface without switching modes, combining what were previously separate operations into a single integrated system.
Solution Approach 2:
The system pre-processes and structures transcription and caption data with embedded metadata (timestamps, speaker information, contextual markers) that enables direct quoting and replying. This preliminary structuring allows users to immediately interact with transcript content in chat without manual copying or switching operations.
2Adaptability or versatility
If users interrupt current collaboration activities to pursue discussions in chat session, then chat discussions can be pursued, but conversation continuity is fragmented and productivity is reduced
Solution Approach 1:
The patent combines audio/video conversation streams with chat message streams into a single unified conversation thread. Transcript excerpts from audio/video are directly embeddable in chat messages, and chat messages are synchronized with the conversation timeline, maintaining a continuous view of all communication modalities.
Solution Approach 2:
The system introduces a unified conversation context as an intermediary layer that mediates between audio/video transmissions and chat messages. This context layer correlates timestamps, speakers, and content across modalities, allowing users to reference and respond to any communication type without breaking the overall conversation flow.
3Reliability
If content is re-sent when participants miss salient points or cues, then information can be reinforced, but network and computing resources are used inefficiently
Solution Approach 1:
The system provides real-time feedback mechanisms including transcript generation during audio/video calls, automated captioning, and contextual suggestions in chat. Users receive immediate feedback about what is being said and can reference specific transcript portions, reducing the need to re-send content and optimizing resource utilization.
Data Source
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AI summary
The techniques disclosed herein improve existing systems by controlling a data processing system for generating messages associated with a communication session. A first UI is rendered on a user device that includes a text-based transcription or caption of dialogue being communicated between users of the communication session. in response to receiving a selection of a portion of the transcription or caption for corresponding via a messaging function of the communication session, rendering a second UI including the selected portion and current messages exchanged between the users of the communication session. The selected portion is rendered along with subsequent messages exchanged between the users of the communication session.