Artificial Reality System Dynamic Engagement Modes
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Solution Overview
Problem
Existing artificial reality systems struggle to provide asymmetric user experiences across devices with varying capabilities, limiting interaction modes and contributing mapping information effectively, especially for non-HMD devices like tablets and mobile phones.
Innovation Solution
An artificial reality system that dynamically determines and manages different modes of engagement for user devices based on their capabilities, allowing HMDs to contribute tracking and event data while non-HMDs contribute mapping information, enabling collaborative 3D environment mapping and image-based tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the artificial reality system supports multiple device types with varying capabilities, then the system's adaptability and versatility improve, but the device complexity and system configuration difficulty increase
Solution Approach 1:
The system dynamically determines the mode of engagement for each user device based on its capabilities and resources. The server device receives capability information from each user device and automatically assigns appropriate engagement modes (full engagement for HMDs with tracking, limited engagement for tablets without tracking), eliminating the need for manual configuration and resolving the contradiction between versatility and complexity.
2Quantity of substance
If non-HMD devices contribute mapping information, then the quantity and quality of environment data improve, but the processing load and system resource requirements increase
Solution Approach 1:
The system segments the mapping information processing by device type. HMDs with full engagement capability contribute both tracking information and mapping information, while tablets with limited engagement contribute only mapping information. The server device processes and integrates these segmented contributions, managing the processing load efficiently by distributing tasks according to each device's capabilities.
3Ease of operation
If the system provides asymmetric user experiences tailored to device capabilities, then the user experience quality improves, but the system complexity and control difficulty increase
Solution Approach 1:
The system applies local quality by providing different engagement modes tailored to specific device types. HMDs receive full engagement with tracking and event data contribution, while tablets receive limited engagement with mapping-only contribution. This localized customization of system behavior for different device classes improves user experience quality while the server automatically manages the complexity of controlling multiple modes.
Data Source
AI summary
In general, this disclosure describes an artificial reality system that provides asymmetric user experiences to users associated with user devices that operate according to different modes of engagement with the artificial reality system. Different user devices may have different capabilities, be used by users having different roles for an artificial reality application, or otherwise be configured to interact in a variety of ways with an artificial reality system.


