Virtual Collaboration Context Modeling for Dynamic AR Meetings
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Solution Overview
Problem
Meetings lack dynamic information sharing and contextual integration, with static user interfaces limiting the flow of relevant information and failing to utilize external resources effectively.
Innovation Solution
A system that utilizes AI to identify an initial context from participant inputs, queries a databank for additional contexts, establishes entity relationships, and overlays these contexts in a virtual collaboration space, enhancing information flow with augmented reality displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a static two-dimensional user interface is used to display meeting information, then the interface structure is simple and easy to operate, but information flow from external sources is blocked and user engagement decreases
Solution Approach 1:
The patent transitions from a static two-dimensional interface to a dynamic three-dimensional virtual collaboration space where information can be displayed in multiple spatial dimensions. This allows external data sources to populate the space with contextual information, visualizations, and resources that float and interact in 3D space, breaking through the limitations of traditional flat interfaces while maintaining ease of access through natural interactions.
Solution Approach 2:
The interface evolves from static to dynamic by implementing a living virtual collaboration space that continuously updates based on meeting context, participant interactions, and external data sources. The space dynamically reconfigures itself to display relevant information, adapt to different meeting phases, and respond to user actions, transforming the rigid two-dimensional interface into a flexible, adaptive environment.
2Loss of information
If external resources and contextual information are integrated into the meeting interface, then information completeness improves, but system complexity increases and processing requirements rise
Solution Approach 1:
The patent introduces an artificial intelligence intermediary that acts as a mediator between external data sources and the virtual collaboration space. The AI automatically queries external sources, processes incoming information, identifies relevant contexts, and populates the virtual space with filtered and organized data. This intermediary layer manages system complexity by handling data integration tasks automatically, allowing comprehensive information display without proportionally increasing operational complexity.
Solution Approach 2:
The virtual collaboration space implements self-service mechanisms where the system automatically queries external data sources, retrieves contextual information, and populates itself with relevant content based on meeting dynamics. The space autonomously manages information flow, updates contextual data, and reconfigures displays without requiring manual intervention, reducing the perceived complexity for users while maintaining information completeness.
3Loss of information
If AI processing is used to identify contexts and establish entity relationships, then contextual integration improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and pre-organizing data from external sources before meetings begin. The AI pre-queries data banks, pre-identifies potential contexts, and pre-establishes entity relationships related to anticipated meeting topics. This preliminary preparation reduces real-time processing requirements during actual meetings, allowing rapid contextual integration without excessive processing delays when the meeting is actively occurring.
Data Source
AI summary
An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.