VR Collaboration Factchecking With GAN Content Replacement

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Solution Overview

Problem

Existing VR collaboration systems fail to effectively factcheck visual aspects of content, allowing false information to propagate among participants.

Innovation Solution

A system utilizing a pre-trained generative adversarial network (GAN) model to identify and replace or remove factually inaccurate visual and audio content within a predetermined boundary in VR collaborations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If factchecking is performed on visual aspects of VR content, then accuracy of information is improved, but system complexity increases

Engineering Contradiction:
Improveaccuracy of informationVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary factchecking system that acts as a mediator between VR content creators and participants. This system includes automated visual analysis tools, factverification databases, and moderation algorithms that objectively verify visual content without requiring manual review by every participant, thus improving accuracy while managing complexity through automation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements preliminary factchecking of visual content before it is widely distributed in the VR environment. Content is pre-verified against fact databases and analyzed for accuracy prior to publication, preventing misinformation from spreading in the first place rather than requiring complex real-time verification during VR sessions.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If automated factchecking systems are implemented, then misinformation detection is improved, but processing time increases

Engineering Contradiction:
Improvemisinformation detectionVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs factchecking in advance during content upload and publication phases. Visual content is automatically analyzed, verified against databases, and approved before being made available in the VR environment, eliminating the need for time-consuming real-time verification during user interactions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual factchecking processes with automated computational systems including image recognition algorithms, natural language processing, and database matching. These automated systems rapidly verify visual content without the time constraints of human reviewers, significantly reducing processing time while maintaining detection accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12462511B2Factcheck streaming in VR collaboration
Publication Date: 2025.11.04 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US12462511B2 patent drawing
  • US12462511B2 patent drawing
  • US12462511B2 patent drawing

AI summary

An embodiment for factcheck streaming in a virtual reality (VR) collaboration is provided. The embodiment may include receiving a video of a VR collaboration and one or more inputs from a user. The embodiment may also include identifying a pre-determined boundary of the VR collaboration. The embodiment may further include executing a factcheck of one or more items of content. The embodiment may also include identifying at least one factually inaccurate item of content. The embodiment may further include in response to determining the at least one factually inaccurate item of content is able to be replaced, generating, by a pre-trained generative adversarial network (GAN) model, at least one factually accurate item of content. The embodiment may also include replacing the at least one factually inaccurate item of content with the generated at least one factually accurate item of content in the VR collaboration.