Shared Virtual Reality Views Using Preference-Based Coordinate Systems
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Solution Overview
Problem
Existing systems fail to effectively customize and maintain separate versions of artificial reality for individual users within a shared computer-generated environment, lacking personalized interaction options.
Innovation Solution
A system and method that utilizes a machine learning algorithm to determine user perception preferences, generating a coordinate system and adjusting perception parameters based on these preferences, allowing for personalized artificial reality experiences by altering the appearance and interaction of user representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a shared artificial reality environment is maintained for all users, then system complexity is reduced and ease of operation is improved, but user customization and personalization capabilities are limited
Solution Approach 1:
The patent segments the shared artificial reality environment into multiple coordinate systems, each associated with different user perception preferences. This allows the system to maintain a unified shared environment while providing personalized views through separate coordinate transformations, resolving the contradiction between customization and system complexity.
Solution Approach 2:
The patent applies local quality by allowing different perception parameters and coordinate system configurations for different users within the same shared environment. Each user experiences customized aspects (avatar appearance, interaction parameters) while the overall system structure remains unified, enabling personalization without proportionally increasing global system complexity.
2Adaptability or versatility
If multiple coordinate systems are generated for different user perceptions, then user experience personalization is improved, but computational resources and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-defining a set of coordinate systems with different perception parameters before users enter the shared environment. When users join, their preferred coordinate system is selected or configured in advance, avoiding real-time computation of custom coordinate transformations and reducing computational resource usage during actual interaction.
3Measurement precision
If user perception preferences are determined through machine learning algorithms, then personalization accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary action by using machine learning algorithms to determine user perception preferences during an initial setup phase or through pre-processing of user data. Once preferences are determined, the results are stored and reused for coordinate system selection, avoiding repeated application of complex algorithms during each user session and reducing processing time.
Data Source
Figure 1
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Figure 2C
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for changing perception of artificial reality content in a shared artificial reality environment. Various aspects may include determining user perception preferences associated with a user representation in the environment. Aspects may also include generating coordinates of a coordinate system and determining a distance between coordinates. Aspects may also include changing a perception parameter corresponding to the user representation based on the determined distances. Aspects may also include determining a visual style of the user representation based on an associated selected artificial reality application. Aspects may include providing instructions to display a virtual area including the user representation according to determined visual style and changed perception parameter.