XR Collaboration Spaces via Spatial Partitioning
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Solution Overview
Problem
Current IT environments face challenges in efficiently sharing and analyzing massive quantities of diverse data, particularly in curating and searching real-world environments, as conventional methods struggle to selectively share three-dimensional data from real-world environments during remote collaboration.
Innovation Solution
The implementation of an event-based data intake and query system, such as the SPLUNK® ENTERPRISE system, which collects, indexes, and searches machine data using a flexible schema, allowing for late-binding schema application at search time, enabling efficient storage and analysis of minimally processed machine data across disparate data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional 3D data sharing methods are used in remote collaboration, then real-world environments can be shared remotely, but the user cannot selectively share specific portions of the environment
Solution Approach 1:
The patent segments the continuous 3D environment data into discrete collaboration spaces defined by boundary surfaces. Each collaboration space represents a selectable portion of the real-world environment that can be independently shared with remote participants, enabling selective sharing while managing data complexity through spatial partitioning.
Solution Approach 2:
The patent applies different sharing permissions to different spatial regions by defining collaboration spaces with specific boundary surfaces. Each space can have its own sharing configuration, allowing users to control which portions of the environment are visible to remote participants based on local spatial characteristics rather than applying uniform sharing rules globally.
2Loss of information
If all 3D data from the real-world environment is shared, then complete environmental context is provided, but data transmission and processing load increases
Solution Approach 1:
The patent extracts only the specific collaboration spaces that need to be shared, defined by boundary surfaces, from the complete 3D environment data. This extraction approach transmits only the necessary portions of the environment to remote participants, maintaining essential environmental context while reducing overall data transmission volume and associated energy consumption.
3Adaptability or versatility
If collaboration spaces are defined by boundary surfaces, then selective sharing is enabled, but the system complexity increases
Solution Approach 1:
The patent introduces a spatial dimension boundary surface as the defining characteristic of collaboration spaces. By using 3D boundary surfaces rather than traditional 2D display boundaries, the system enables intuitive spatial-based selective sharing where users can define collaboration areas by physical gestures or spatial markers in the real-world environment, adding flexibility without proportionally increasing system complexity.
Data Source
AI summary
Extended reality (XR) software application programs establish remote collaboration sessions in which a host device and one or more remote devices can interact. When initiating a remote collaboration session, an XR application in a host device determines a collaboration area. The collaboration area corresponds to a portion of a real-world environment that is shared by the host device with the one or more remote devices. In some embodiments, the collaboration area can be determined automatically and/or based on user input. The XR application causes sensors associated with the host device to scan the collaboration area. Then, the XR application transmits, to the one or more remote devices, a three-dimensional representation of the collaboration area for rendering in one or more remote XR environments.