AR Content Filtering via Unit Space Attributes
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Solution Overview
Problem
Augmented reality (AR) systems often overwhelm users with unnecessary content displayed based on physical distance, increasing cognitive load and resource usage, and may provide inappropriate content not aligned with the user's intended service.
Innovation Solution
A method to determine if a user terminal is within a predefined unit space, filtering and displaying only relevant content associated with that space, and dynamically changing application settings based on the unit space's attributes, such as indoors or outdoors, to provide a more focused and meaningful AR experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content is augmented based on physical distance from user terminal, then more content can be provided to user, but cognitive load and resource usage increase
Solution Approach 1:
The service area is divided into multiple unit spaces with different attributes (indoor, outdoor, commercial, residential, etc.). Instead of providing all content within a physical radius, the system segments content by unit space attributes and provides only those matching the current unit space, reducing overwhelming content quantity while maintaining comprehensive coverage of relevant content.
Solution Approach 2:
Different content filtering rules and attributes are applied to different unit spaces. Each unit space has its own set of relevant content attributes (e.g., commercial areas show shopping content, residential areas show local service content). This local quality approach ensures content relevance to the specific location type, reducing cognitive load by displaying only contextually appropriate content.
2Quantity of substance
If content is augmented based on physical distance, then broader content coverage is achieved, but content relevance to user intent decreases
Solution Approach 1:
Each unit space is assigned specific attributes (indoor/outdoor, commercial/residential, etc.) and content is filtered based on matching these attributes. This ensures that content displayed is relevant to the type of location the user is in, improving content relevance while maintaining broad coverage across different unit space types through the hierarchical structure.
Solution Approach 2:
The system transitions from traditional distance-based content filtering to attribute-based filtering using unit space characteristics. By adding the dimension of spatial attributes (indoor/outdoor, commercial/residential) beyond simple distance metrics, the system achieves both broad content coverage and high relevance to user intent based on location context.
3Loss of information
If all content within distance radius is displayed, then comprehensive information is provided, but resource usage and processing load increase
Solution Approach 1:
The system extracts and displays only the subset of content that is relevant to the current unit space attributes, rather than processing and displaying all content within the distance radius. This extraction approach maintains information completeness for relevant content while significantly reducing resource usage by excluding irrelevant content from processing and display.
Solution Approach 2:
The content filtering mechanism changes from distance-based parameter to attribute-based parameters (unit space characteristics). By changing the filtering parameter from simple distance to multi-dimensional unit space attributes, the system achieves efficient resource usage while maintaining comprehensive information coverage for the specific location context.
4Device complexity
If generic content filtering is used, then system complexity is reduced, but adaptability to different service areas decreases
Solution Approach 1:
The unit space attribute system serves multiple functions: it categorizes locations, filters content, determines display parameters, and adapts to different service areas. This universal attribute-based framework handles diverse service areas (commercial, residential, indoor, outdoor) with a single system approach, maintaining low complexity while achieving high adaptability through the multi-functional unit space classification.
Data Source
AI summary
Provided is a method for providing augmented content, wherein whether a user terminal is located in a preset unit space is determined on the basis of the location of the user terminal, and if the user terminal is determined to be located in the unit space, an image captured by a camera is displayed through an augmented reality (AR) view by being augmented with content associated with the unit space.


