AR Information Prioritization for Hazard-Aware Visual Output
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Solution Overview
Problem
Existing AR devices fail to prioritize safety-relevant information over non-safety-relevant information in potentially hazardous situations, leading to user distraction and increased risk.
Innovation Solution
An AR device method that assesses the safety relevance of surrounding objects using internal and external sensors, prioritizing safety-relevant information based on hazard level, and selectively outputs this information to the user, potentially highlighting or suppressing non-safety-relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the AR device outputs both safety-relevant and non-safety-relevant information simultaneously, then the user receives comprehensive information, but the user becomes distracted and safety is compromised
Solution Approach 1:
The AR device dynamically adjusts the output configuration based on real-time safety relevance assessment. The system transitions between different information output modes (full output, selective output, safety-only output) depending on the detected hazard level, making the information prioritization adaptive rather than static
Solution Approach 2:
The system changes the output parameters of information by adjusting the priority weighting between safety-relevant and non-safety-relevant information. When safety relevance exceeds a threshold, the system modifies the output configuration to suppress or de-prioritize non-safety information, effectively changing the information delivery parameters based on contextual assessment
2Reliability
If the AR device prioritizes safety-relevant information by suppressing non-safety-relevant information, then user safety is improved, but the user loses access to useful non-safety information
Solution Approach 1:
The system applies partial suppression of non-safety-relevant information rather than complete elimination. When safety relevance is detected, the system selectively reduces or filters non-safety information output while maintaining safety-critical information, achieving safety improvement without total information loss
Solution Approach 2:
The information output is differentiated by quality and priority level. The system applies different output treatments to different types of information: safety-relevant information receives high-priority prominent display, while non-safety-relevant information receives reduced or selective display, creating a hierarchical information quality structure
3Measurement precision
If the AR device assesses safety relevance of all surrounding objects, then hazard detection accuracy is improved, but the computational complexity and processing time increase
Solution Approach 1:
The assessment process is segmented into hierarchical levels: initial object detection, safety relevance filtering, and detailed hazard assessment. The system divides the surrounding environment into zones of interest and processes objects differently based on their proximity and potential threat level, reducing overall computational complexity
Data Source
AI summary
A method for ascertaining a configuration of an output of safety-relevant and non-safety-relevant information for a user of an AR device, in particular AR glasses. The method includes: receiving first data, wherein the first data are specific to at least one object in the in particular indirect and/or immediate surroundings of the user; ascertaining a safety relevance of the at least one object to the user on the basis of the first data; generating an output signal to the AR device depending on the ascertained safety relevance such that the AR device outputs safety-relevant information relating to the at least one object with a higher priority than non-safety-relevant information.