XR Platform Dynamic 3D to 2D Environment Switching
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Solution Overview
Problem
Existing extended reality (XR) platforms face challenges in displaying advertisements without distracting users during immersive 3D experiences, as 3D environments may not be optimal for presenting information effectively.
Innovation Solution
The XR platform employs a machine learning prediction algorithm to determine the optimal environment for displaying advertisements by monitoring user interactions and switching between 3D and 2D environments based on user engagement and head movement analysis, ensuring that advertisements are displayed in the most suitable format to minimize distraction and maximize user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are displayed during immersive 3D experiences, then host revenue and business opportunities increase, but user experience is interrupted and users are distracted
Solution Approach 1:
The system dynamically switches between 3D and 2D display environments based on user interaction states. During immersive 3D experiences, advertisements are not displayed. When users transition to menu screens, pauses, or other 2D environments, advertisements are then displayed. This dynamic adaptation resolves the contradiction by making the display state contingent on user engagement level.
Solution Approach 2:
The patent applies different display qualities (3D vs 2D) to different functional areas and time periods. Advertisements are selectively displayed only in 2D environments such as menu screens, pause menus, and loading screens, while maintaining immersive 3D quality during active experiences. This local differentiation allows revenue generation without compromising core user experience.
2Loss of information
If advertisements are displayed in 3D environments, then advertising visibility increases, but 3D environment quality and user immersion deteriorate
Solution Approach 1:
The system dynamically adjusts the display environment based on user interaction. Advertisements are displayed in 2D mode during non-immersive moments (menu screens, pauses, loading screens) and hidden during active 3D experiences. This ensures advertisements are visible when users are not immersed, without compromising 3D environment quality.
Solution Approach 2:
The patent introduces 2D menu screens and pause interfaces as intermediary environments between the user and the 3D experience. Advertisements are placed in these intermediary 2D layers rather than directly in the 3D space, allowing advertisement display without degrading the 3D immersion quality.
3Adaptability or versatility
If the XR environment is switched between 3D and 2D based on user interaction, then advertisement display optimality increases, but system complexity increases
Solution Approach 1:
The system continuously monitors user interaction states (head movement, gaze direction, interaction type) and uses this feedback to automatically determine whether to display advertisements in 3D or 2D mode. Machine learning algorithms analyze user behavior patterns to predict optimal advertisement timing and format, reducing manual configuration complexity.
Solution Approach 2:
The patent implements automated environment switching based on user behavior analysis. The system self-determines when to switch between 3D and 2D modes using machine learning models that analyze user interaction patterns, eliminating the need for manual user decisions or complex configuration interfaces.
Data Source
AI summary
Methods and apparatus for alternating computing environments for viewing graphical displays is provided. The computing environments may include a 3D environment and a 2D environment. Methods may include monitoring a user interaction with an extended reality (“XR”) headset. In parallel with the monitoring of the user interaction, methods may include running a machine learning (“ML”) prediction algorithm to predict an opportunity to generate a graphical display, the graphical display may be a selectable icon. In response to a selection of the selectable icon, information may be displayed relating to the graphical display. In response to the ML prediction algorithm predicting the opportunity, methods and apparatus may include displaying the graphical display in the 3D environment. Methods and apparatus may further include executing a determination to determine which environment is an optimal environment for displaying the information and further toggling between the 3D and 2D environments based on the determination.