VR Attention Assessment Using Adaptive 3D Visual Stimuli

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Solution Overview

Problem

Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented for home use with household devices, leading to less accurate assessments.

Innovation Solution

Implementing methods and systems using a head-mounted display (HMD) with processors and memory to create a 3D virtual environment, display visual stimuli, and analyze eye images to determine visual processing performance factors, convergence, and attention capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional vision testing methods are used, then the testing can be performed with simple equipment, but the accuracy of assessment is reduced and dynamic adjustment of test parameters is not possible

Engineering Contradiction:
Improveaccuracy of vision assessmentVSAvoidcomplexity of testing system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements dynamic adjustment of test parameters including virtual stimulus size, distance, and position in real-time based on eye tracking data and user performance. The system adapts the visual assessment automatically during testing, allowing continuous optimization of measurement precision without requiring manual intervention or complex pre-programming of multiple test configurations.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent replaces traditional mechanical/optical vision testing equipment with a computational system that uses head-mounted displays, eye tracking cameras, and digital processing. This substitution enables more precise measurement through digital gaze position analysis and virtual stimulus presentation, achieving higher accuracy while reducing the need for complex physical testing apparatus.

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

2Adaptability or versatility

If traditional vision testing methods are used, then the testing can be performed with simple equipment, but the testing cannot be implemented for home use with household devices

Engineering Contradiction:
Improvehome use capabilityVSAvoidcomplexity of testing system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent designs the vision testing system to be universally applicable across different platforms and devices. The system can function with various head-mounted displays including consumer VR headsets, augmented reality devices, and other portable display platforms. This multi-functionality enables the same core testing capability to be deployed in diverse settings including homes, clinics, and research facilities without requiring specialized equipment.

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

Solution Approach 2:

The patent creates virtual copies of traditional vision testing procedures that can be executed on household devices. By presenting testing stimuli and collecting eye tracking data through software running on accessible platforms, the system replicates professional vision assessment capabilities using readily available technology, making home-based testing feasible without requiring expensive specialized equipment.

Inventive Principle:
Principle #26Copying

3Measurement precision

If dynamic adjustment of test parameters is implemented, then the accuracy of vision assessment is improved, but the complexity of the testing system increases

Engineering Contradiction:
Improveaccuracy of vision assessmentVSAvoidcomplexity of testing system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements automated feedback loops where eye tracking data and user responses to visual stimuli are continuously analyzed to dynamically adjust test parameters. The system uses real-time feedback about gaze position, fixation duration, and response accuracy to automatically modify stimulus characteristics, creating an adaptive testing process that optimizes measurement precision through continuous self-adjustment rather than requiring complex manual control systems.

Inventive Principle:
Principle #23Feedback

4Ease of operation

If extended reality environments are used for vision testing, then accessibility and home use are enabled, but the complexity of implementing the testing system increases

Engineering Contradiction:
Improveaccessibility for home useVSAvoidcomplexity of testing system
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent segments the vision testing system into separate functional modules that can be independently implemented and optimized. The head-mounted display system, eye tracking subsystem, stimulus presentation software, and data analysis components are divided into distinct modules that can be developed, tested, and deployed separately. This segmentation reduces overall implementation complexity by allowing incremental development and independent optimization of each component while maintaining the integrated functionality needed for accessible home-based testing.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20260069178A1Methods and systems for assessing selective attention capabilities in virtual environments
Publication Date: 2026.03.12 ZENNI OPTICAL
  • US20260069178A1 patent drawing
  • US20260069178A1 patent drawing
  • US20260069178A1 patent drawing

AI summary

A user's attention capabilities can be assessed in a virtual environment. An electronic device, such as a head-mounted display, can display a plurality of visual stimuli concurrently in a 3D virtual environment, and each visual stimulus can be displayed at a position in the 3D virtual environment according to a display scheme. The electronic device can obtain a stream of sensor data measured by the one or more sensors, and can determine a plurality of sequential user responses to the plurality of visual stimuli based on the stream of sensor data. Based on the plurality of sequential user responses, the electronic device can determine an attention indicator indicating an attention capability of the user associated with the electronic device to different visual stimuli.