XR Risk Assessment Control for VR-to-AR Safety Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing XR technologies fail to adequately address safety concerns by not considering the type of real objects in the environment, leading to potential hazards for users wearing XR devices, as they primarily focus on distance-based risk assessment.
Innovation Solution
An XR device and control method that analyzes the risk level of real objects based on their type and distance, automatically switching from VR to AR mode when a high-risk object is detected, and provides warning graphics to enhance user safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If VR mode is executed to provide immersive virtual experience, then user immersion in virtual environment is improved, but user safety is worsened due to inability to see real-world objects
Solution Approach 1:
The system dynamically switches between VR and AR modes based on real-time risk assessment of detected objects. When high-risk objects are detected within a certain distance, the system transitions from immersive VR mode to AR mode that overlays real-world visibility, thereby adaptively balancing immersion and safety
Solution Approach 2:
The system implements a feedback mechanism where cameras continuously detect real-world objects, assess their risk levels, and provide feedback to the control unit. This feedback loop enables automatic mode switching and warning graphic display to alert users of potential hazards while maintaining immersive experience when safe
2Device complexity
If simple distance-based risk guidance is provided, then implementation complexity is reduced, but safety effectiveness is worsened because object type is not considered
Solution Approach 1:
The system segments the risk assessment process into distinct components: object detection by cameras, object type classification, distance measurement, risk level calculation based on both type and distance, and differentiated warning responses. This segmentation enables comprehensive safety assessment while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system changes the parameters of risk assessment from solely distance-based to include both object type and distance. The control unit calculates risk levels by considering multiple parameters (object category, proximity, movement characteristics) and adjusts the warning response accordingly, thereby improving safety effectiveness without excessive complexity
3Loss of information
If warning graphics are displayed for all detected objects, then user awareness is improved, but information overload is worsened reducing usability
Solution Approach 1:
The system applies local quality by providing differentiated warning graphics based on the specific risk characteristics of each detected object. Instead of uniform warnings for all objects, the system tailors the warning intensity, type, and presentation to the local context of each object's risk profile, thereby optimizing both information delivery and usability
Data Source
AI summary
Disclosed are an extended reality (XR) device and a control method thereof, which are applicable to all of 5G communication technology field, a robot technology field, an autonomous driving technology field, and an AI technology field.