Virtual Space User Matching via Gaze Duration Detection
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Solution Overview
Problem
Current virtual reality technologies lack effective methods for matching users in a virtual environment, failing to provide immersive and efficient user interaction leading to meaningful connections.
Innovation Solution
A system utilizing head-mounted devices (HMDs) that detect user inputs and establish matches based on prolonged gaze or interaction with avatars in a virtual space, creating a virtual environment where users can interact and form connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users are matched in a virtual reality environment using head-mounted devices, then user interaction immersion and connection quality are improved, but system complexity and detection requirements increase
Solution Approach 1:
The patent uses virtual space and avatar representations as intermediaries between real users. The server acts as a mediator that receives input signals from HMDs, processes matching logic, and coordinates interactions without requiring direct complex communication between all user devices. This reduces overall system complexity while maintaining matching accuracy.
Solution Approach 2:
The patent creates virtual copies (avatars) of real users in the virtual reality environment. These avatar representations allow interaction and matching to occur in the virtual space without requiring direct processing of all real-user data, simplifying the system while preserving user identity and interaction fidelity for accurate matching.
2Measurement precision
If the system monitors user inputs and gaze duration for matching, then matching precision is improved, but information processing load and detection complexity increase
Solution Approach 1:
The system pre-establishes the virtual space, avatar representations, and matching criteria before user interactions occur. By preparing the matching framework and detection parameters in advance, the system reduces real-time processing complexity while maintaining precise measurement of user gaze duration and interaction patterns for accurate matching.
3Reliability
If prolonged gaze and interaction patterns are analyzed for matching, then connection quality is improved, but processing time and system resource usage increase
Solution Approach 1:
The system analyzes only the essential interaction parameters (gaze duration, input signals) needed for matching rather than processing all possible user data. This partial action approach maintains connection quality by focusing on key indicators while reducing overall processing time and system resource consumption.
Solution Approach 2:
The matching process operates continuously in the background as users interact in the virtual space, rather than requiring discrete processing intervals. This continuous operation allows the system to accumulate interaction data smoothly and perform matching decisions without interrupting user experience, reducing perceived processing time while maintaining connection quality.
Data Source
AI summary
A method includes defining a virtual space for each of a first and second user. The method further includes presenting in a first virtual space a plurality of first potential match users as candidates to be matched with the first user. The method further includes detecting a first input from the first user and detecting a first period during which the first user designates the second user. The method further includes presenting in a second virtual space presenting a plurality of second potential match users as candidates to be matched with the second user. The method further includes detecting a second input from the second user and detecting a second period during which the second user designates the first user. The method further includes matching the first user and the second user in accordance with the first period and the second period satisfying a predetermined relation.