Augmented Reality Content Sharing Through Gaze-Based Group Selection
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Solution Overview
Problem
Existing content sharing systems in augmented reality (AR) struggle to facilitate easy sharing of content within a specific user-defined group, such as between friends or store staff, without the need for manual intervention.
Innovation Solution
A content sharing system that identifies gazed content based on user visual line direction and position information, decides on sharing criteria, and automatically selects sharing destination users with a strong relationship to the content source user, using an acquisition, identification, decision, and sharing unit to ensure content is shared only within the intended group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is shared with all users in a place, then content sharing is simple and easy to implement, but content cannot be selectively shared within a specific group
Solution Approach 1:
The system automatically identifies gazed content and determines sharing destinations based on user states and relationship information without requiring manual selection. The content sharing source user simply needs to activate sharing, and the system self-determines what to share and with whom based on pre-established criteria.
Solution Approach 2:
The system segments the audience by identifying specific users with strong relationships to the content source user based on user states and relationship data. Instead of sharing with all users, the system divides the potential audience into specific groups (e.g., friends, colleagues) and selectively shares with appropriate segments.
2Productivity
If all gazed content is shared with all users, then sharing process is simple, but unnecessary sharing increases communication load
Solution Approach 1:
The system extracts only the essential sharing information (gazed content) and selectively transmits it to identified sharing destination users. By extracting only necessary content rather than transmitting all gazed content to all users, the system reduces communication overhead while maintaining sharing effectiveness.
Solution Approach 2:
Instead of sharing all gazed content with all users (excessive action), the system shares only the identified gazed content with specifically selected users who have strong relationships (partial action). This partial sharing approach reduces communication load while maintaining necessary information transfer.
3Measurement precision
If manual selection of sharing content and destination is required, then sharing precision is high, but operation complexity increases
Solution Approach 1:
The system performs automatic identification of gazed content and automatic determination of sharing destinations based on user states and relationship information. This self-service mechanism eliminates the need for manual selection while maintaining accurate targeting through automated algorithms that analyze visual line directions, positions, and relationship data.
Solution Approach 2:
The system replaces manual mechanical selection processes with automated computational algorithms. Instead of requiring users to manually select content and destinations, the system uses computational analysis of user states, visual directions, and relationship data to automatically determine sharing targets, substituting human decision-making with automated processing.
Data Source
AI summary
An AR system includes an acquisition unit configured to acquire a user state, an identification unit configured to identify gazed content which is content at which a content sharing source user is gazing, a first decision unit configured to decide whether or not to share the gazed content with other users, a second decision unit configured to identify a content sharing destination candidate user having a strong relationship with the content sharing source user on the basis of user states of the content sharing source user and one or more content sharing destination candidate users when the gazed content is shared with the other users and decide on the identified content sharing destination candidate user as a content sharing destination user, and a sharing unit configured to share the gazed content with the content sharing destination user.


