Virtual Environment Conversation Knowledge Object Segmentation

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Solution Overview

Problem

Documenting conversations in virtual reality environments, especially in divergent meetings where topics are numerous and fluid, is challenging due to their free-flowing and expanding nature, making it difficult to identify and properly document each topic.

Innovation Solution

A computer program-based collaboration platform that facilitates, documents, and analyzes conversations in real-time by converting voice inputs into templatized, metadata-rich 'knowledge objects,' parses topical shifts, and segments discussions, allowing for the creation of a 'topic cloud' and guiding further elaboration, while also enabling data storage and export.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If traditional documentation methods are used for virtual reality conversations, then the system is simple to operate, but the ability to identify and document each topic in divergent meetings deteriorates due to the free-flowing and expanding nature of discussions

Engineering Contradiction:

Improveease of operationVSAvoidtopic identification capability

Core Design Contradiction:

Ease of manufactureVSLoss of information

Solution Approach 1:

The patent replaces manual documentation methods with an automated system that uses speech-to-text conversion, natural language processing, and machine learning algorithms to automatically identify, segment, and document topics in virtual reality conversations. This substitution of mechanical/manual operations with intelligent automated systems resolves the contradiction by maintaining ease of operation while dramatically improving topic identification capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary processing layer between the virtual reality conversation and the documentation output. This intermediary system includes components for real-time transcription, topic detection, segmentation, and knowledge object creation that automatically structure the free-flowing conversation into organized, searchable documentation, thereby preserving topic information without requiring manual intervention.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If manual tracking of multiple topics is attempted in divergent meetings, then topic documentation completeness may improve, but the complexity of the system and time required deteriorates

Engineering Contradiction:

Improvetopic documentation completenessVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent implements a self-service system where the documentation platform automatically performs topic detection, segmentation, transcription, and organization without requiring manual tracking or intervention. The system uses machine learning models to autonomously identify topics, create knowledge objects, and generate structured documentation, thereby achieving complete topic documentation while keeping the system simple to operate.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent performs preliminary processing of conversation data in real-time, including speech-to-text conversion, topic identification, and segmentation, as the conversation is occurring. This preliminary action prepares the data in advance for automatic documentation generation, eliminating the need for complex post-processing or manual tracking systems.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If real-time analysis of virtual reality conversations is implemented, then productivity and engagement understanding improve, but the computational resources and processing time required deteriorates

Engineering Contradiction:

ImproveproductivityVSAvoidcomputational resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements partial real-time analysis by prioritizing the processing of key conversation elements such as topic transitions, speaker identification, and important keywords, while deferring less critical analysis to post-processing. This selective real-time processing achieves sufficient productivity improvement and engagement understanding without requiring full computational analysis of every conversation element, thereby reducing overall computational resource requirements.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11868736B1Approaches to deriving and surfacing insights into conversations in virtual environments and systems for accomplishing the same

Publication Date: 2024.01.09 MOONBEAM EXCHANGE LLC

AI summary

Introduced here is a computer program that is representative of a software-implemented collaboration platform that is designed to facilitate conversations in virtual environments, document those conversations, and analyze those conversations, all in real time. The collaboration platform can include or integrate tools for turning ideas—expressed through voice—into templatized, metadata-rich data structures called “knowledge objects.” Discourse throughout a conversation can be converted into a transcription (or simply “transcript”), parsed to identify topical shifts, and then segmented based on the topical shifts. Separately documenting each topic in the form of its own “knowledge object” allows the collaboration platform to not only better catalogue what was discussed in a single ideation session, but also monitor discussion of the same topic over multiple ideation sessions.