VR Vision Testing With Eye Tracking for Blue Light Sensitivity

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Solution Overview

Problem

Traditional visual assessment methods are limited to professional settings and do not allow for dynamic adjustment of test parameters, making them less accurate and inaccessible for home use with household devices.

Innovation Solution

Implementing a virtual reality (VR) system with a head-mounted display (HMD) and eye-tracking sensors to conduct vision tests in a controlled, immersive environment, simulating various lighting conditions and tracking user responses for comprehensive assessments of light sensitivity, vision sensitivity, and color perception.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional visual assessment methods are used in clinical environments with specialized equipment, then measurement precision is improved, but device complexity and ease of operation worsen due to requiring professional settings and trained healthcare providers

Engineering Contradiction:
Improvevision assessment accuracyVSAvoidequipment complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a virtual copy of the clinical vision assessment environment using VR technology. The system replicates standardized vision test procedures and parameters in a virtual space, allowing clinical-grade assessments to be performed without physical specialized equipment. The VR environment copies the essential testing conditions while removing the need for complex clinical infrastructure.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces mechanical and physical specialized equipment with software-based VR rendering and standard consumer devices. Instead of using complex optical instruments and specialized hardware, the system uses virtual reality software running on accessible devices to deliver vision assessments, substituting physical mechanisms with computational approaches.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If traditional visual assessment methods are used with fixed parameters, then device complexity is reduced, but measurement precision worsens due to inability to dynamically adjust test parameters

Engineering Contradiction:
Improvetesting system simplicityVSAvoidvision assessment accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent implements dynamic adjustment of test parameters within the VR environment. The system can modify visual stimulus characteristics, timing, and presentation conditions in real-time based on user responses and performance metrics. This dynamic capability allows the simplified system to achieve precision comparable to complex adaptive testing protocols.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent enables changing of testing parameters such as stimulus duration, intensity, and presentation timing without hardware modifications. The software system allows flexible parameter adjustment to optimize test sensitivity and specificity, achieving high measurement precision through virtual parameter control rather than physical equipment changes.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If traditional visual assessment methods are implemented in professional settings, then reliability is improved through supervised testing, but ease of operation worsens due to requirement of trained healthcare providers

Engineering Contradiction:
Improveassessment reliabilityVSAvoiduser accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent enables patients to perform vision assessments independently without requiring trained healthcare providers. The VR system includes built-in instructions, automated guidance, and self-calibration features that allow users to conduct their own testing. The system maintains reliability through automated quality control and validation algorithms while dramatically improving accessibility.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements automated feedback mechanisms that guide users through the testing process and ensure proper procedure execution. The system provides real-time feedback on user performance, corrects improper testing techniques, and validates results quality, maintaining reliability without human supervision. This automated feedback loop replaces the supervisory role of healthcare providers.

Inventive Principle:
Principle #23Feedback

4Measurement precision

If VR-based vision testing is implemented with dynamic parameter adjustment, then measurement precision is improved, but device complexity increases compared to traditional methods

Engineering Contradiction:
Improvevision assessment accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses a universal VR platform that can deliver multiple types of vision assessments through a single system. The same VR environment and hardware infrastructure support various test protocols, parameter adjustments, and assessment types. This multi-functionality reduces overall system complexity compared to having separate specialized equipment for each testing modality.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260076554A1Methods and systems for evaluating vision during digital device use and blue light sensitivity using virtual reality
Publication Date: 2026.03.19 ZENNI OPTICAL
  • US20260076554A1 patent drawing
  • US20260076554A1 patent drawing
  • US20260076554A1 patent drawing

AI summary

A virtual reality (VR) system can be implemented to evaluate vision during digital device use and identify blue light sensitivity. The system utilizes an electronic device with a high-resolution VR headset equipped with eye-tracking sensors. It generates a VR user interface that simulates typical digital device use scenarios and renders this interface on the VR headset. The system presents a series of digital tasks within the VR environment, including simulated exposure to blue light during these tasks. Throughout the session, the system continuously monitors the user's eye movements and behavior using the eye-tracking sensors. The collected data is then analyzed for indicators of blue light sensitivity, potentially providing insights into how prolonged exposure to digital screens and blue light may affect an individual's visual comfort and performance.