Biometric VR System Using Ocular Scans for Dynamic Difficulty Adjustment
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Solution Overview
Problem
Current virtual reality (VR) systems lack the ability to dynamically adjust difficulty levels and provide real-time feedback to match user engagement and aptitude, leading to suboptimal user experience and immersion.
Innovation Solution
A biometric-enhanced VR system that uses ocular scans, including pupil dilation measurements, to authenticate users and infer mental strain, engagement, and decision-making processes, allowing for real-time modification of the VR environment and difficulty levels to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If VR systems use fixed difficulty levels and static environment settings, then system complexity is reduced, but user engagement and adaptability deteriorate
Solution Approach 1:
The patent applies dynamics by making the VR environment and difficulty levels dynamically adjustable based on real-time biometric feedback. The system continuously monitors physiological data (pupil dilation, eye movement, heart rate) and automatically modifies game parameters, transforming a static system into a dynamic one that adapts to user state without requiring manual intervention.
Solution Approach 2:
The patent implements feedback mechanisms where biometric sensors continuously monitor user physiological responses and feed this information back to the VR system. This closed-loop feedback enables the system to detect user engagement levels, stress states, and attention patterns, then adjust difficulty and environment settings accordingly, creating an adaptive user experience.
2Adaptability or versatility
If real-time biometric monitoring is implemented, then user experience personalization is improved, but measurement precision requirements and data processing complexity increase
Solution Approach 1:
The patent applies universality by using multi-functional biometric sensors that can monitor multiple physiological parameters (pupil dilation, eye movement trajectories, heart rate, skin conductance) simultaneously. This allows the system to gather comprehensive user state information through a single integrated sensing approach, reducing the need for multiple separate measurement systems and their associated precision requirements.
Solution Approach 2:
The patent utilizes parameter changes by transforming raw biometric data into normalized engagement metrics. The system adjusts and normalizes physiological parameters based on user baselines and contextual factors, converting diverse measurement data into unified engagement levels that drive VR environment modifications. This parameter transformation approach handles varying measurement precision requirements through standardized processing.
3Reliability
If continuous ocular scanning and pupillometry are conducted, then user authentication accuracy is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent applies periodic action by implementing continuous but间歇性 ocular scanning rather than constant high-frequency monitoring. The system performs authentication scans at regular intervals to verify user identity, and conducts pupillometry measurements at optimized frequencies based on engagement detection needs. This periodic sampling maintains authentication reliability while significantly reducing energy consumption compared to continuous high-frequency scanning.
Solution Approach 2:
The patent implements self-service by using the user's own physiological responses (pupil dilation, eye movement patterns) as the authentication mechanism. The system leverages natural biological functions that occur automatically during VR use, eliminating the need for additional user inputs or external authentication devices. This self-service approach maintains high authentication accuracy through biometric verification while minimizing energy overhead compared to manual authentication methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides a personalized and immersive VR experience by dynamically adjusting difficulty and modifying elements in real-time based on user feedback, improving engagement and predicting user decisions, thereby enhancing gameplay and user satisfaction.
Implementation Method 1
at least one scan within the one or more conducted ocular scans is a pupil scan. A plurality of pupillometry data is associated with the user based on the one or more conducted ocular scans
Data Source
AI summary
Embodiments of the present invention are directed to a method, computer system, and computer program product for biometric-enhanced virtual reality experience modification. One or more ocular scans of a user are conducted using a sensor, wherein at least one scan within the one or more conducted ocular scans is a pupil scan. A plurality of pupillometry data is associated with the user based on the one or more conducted ocular scans. A plurality of user information is inferred by the plurality of gathered pupillometry data. The virtual environment is modified based on the plurality of inferred information.