VR Object Presentation via User Gaze and Physiological Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual reality (VR) environments lack dynamic and user-specific interaction methods to determine and present relevant objects based on user interactions, relying on fixed rules and requiring extensive user input for contextual information.
Innovation Solution
A method and system that detect user interactions such as movement, speech, and physiological traits to produce contextual information, determining and presenting relevant objects in the VR environment by tracking user gaze direction, movement, and physiological responses, allowing for dynamic and responsive object presentation without explicit user requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed rules are used to determine object presentation in VR environments, then system complexity is reduced, but adaptability and user-specific relevance deteriorate
Solution Approach 1:
The system automatically detects user interactions (gaze direction, movement, physiological traits) and autonomously determines which objects to present without requiring explicit user commands or complex configuration. The VR environment serves itself by adapting to user behavior patterns, eliminating the need for users to manually specify contextual information while maintaining high adaptability to individual users.
2Productivity
If extensive user input is required for contextual information, then information accuracy is improved, but user interaction efficiency deteriorates
Solution Approach 1:
The system continuously monitors and detects user interactions (gaze direction, movement, physiological traits) in advance to predict user intentions before explicit requests are made. By preparing contextual information proactively based on detected patterns, the system eliminates the need for users to provide extensive input, significantly improving interaction efficiency while reducing time loss.
Solution Approach 2:
The system uses real-time detection of user interactions as feedback to dynamically adjust object presentation. By continuously monitoring user behavior and using this feedback to refine predictions about user intentions, the system automatically optimizes which objects are presented, eliminating the need for extensive user input while maintaining high information accuracy.
3Ease of operation
If dynamic object presentation based on user interaction is implemented, then user engagement is improved, but measurement and detection complexity increases
Solution Approach 1:
The system employs a multi-functional detection framework that simultaneously monitors various types of user interactions (gaze direction, movement, physiological traits) using integrated sensors. This universal approach allows the system to capture comprehensive user behavior data through a unified architecture, making the detection process more manageable while enabling rich dynamic object presentation that significantly improves user engagement.
Data Source
AI summary
In at least one general aspect, a method can include detecting an interaction with a first object in a virtual reality (VR) environment, producing first contextual information based on user interaction with the first object, determining a second object to display in the VR environment based on the first contextual information, and presenting the second object in the VR environment. The interaction of the user may include at least one of a movement, a speech, or a physiological trait of the user.