VR and AR Vision Testing With Adaptive Stimulus Adjustment
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Solution Overview
Problem
Traditional vision tests lack dynamic adjustment of test parameters and cannot be implemented in a home environment using household devices, leading to less accurate assessments.
Innovation Solution
Implementing a virtual vision test in a three-dimensional virtual environment using electronic devices with displays, sensors, and speakers, which adaptively generate audio instructions based on user responses to visual stimuli, allowing for dynamic adjustment and personalized testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision test methods are used, then the testing process is simple and can be performed with basic equipment, but the assessment accuracy is reduced and dynamic adjustment of test parameters is not possible
Solution Approach 1:
The vision test system dynamically adjusts test parameters such as stimulus duration, inter-stimulus intervals, and difficulty levels based on real-time user performance. The testing protocol transitions from static to adaptive, allowing the system to optimize measurement precision by modifying parameters during the test based on user responses and performance metrics.
Solution Approach 2:
The system implements real-time feedback loops where user responses to visual stimuli are immediately processed, and subsequent test parameters are adjusted based on performance. This feedback mechanism enables continuous optimization of assessment accuracy while maintaining engagement, resolving the contradiction between precision and complexity through intelligent adaptation.
2Adaptability or versatility
If traditional vision tests are implemented, then the equipment requirements are minimal, but the tests cannot be performed in home environments and lack personalization
Solution Approach 1:
The vision testing system is designed to run on common household electronic devices such as smartphones, tablets, and computers. By leveraging existing cameras, displays, and processors of these universal devices, the system achieves home environment compatibility without requiring specialized equipment, thus resolving the contradiction between adaptability and device complexity.
Solution Approach 2:
The system automatically configures and adapts to the user's home environment by detecting device capabilities, adjusting display parameters, and personalizing the testing protocol without requiring manual setup. This self-service approach enables easy deployment in home settings while managing device complexity through automated adaptation.
3Ease of operation
If traditional vision tests are used, then the testing procedure is straightforward, but audio guidance and adaptive instructions cannot be provided
Solution Approach 1:
The system replaces manual tester guidance with automated audio generation using text-to-speech technology and speech recognition. This substitution maintains ease of operation by providing clear verbal instructions while reducing the need for human operator intervention, thus resolving the contradiction between operational simplicity and automation extent.
Solution Approach 2:
The system pre-generates audio instructions and guidance based on anticipated user needs and test progression. By preparing adaptive audio content in advance based on predicted user responses, the system ensures smooth guidance delivery without real-time processing delays, balancing ease of operation with automation requirements.
Data Source
AI summary
This application is directed to implementing a vision test by an electronic device having a head-mounted display (HMD). The electronic device executes a user application associated with the vision test, and obtains an instruction to implement a target vision test. A target user interface is selected between a virtual reality (VR) user interface corresponding to a three-dimensional (3D) virtual environment and an augmented reality (AR) user interface corresponding to a 3D AR environment. The electronic device implements the target vision test on the target user interface. In some embodiments, the VR user interface has a background view (e.g., a static beach view, a static city night scene, a dynamic traffic view) on which visual stimuli are overlaid. In some embodiments, the electronic device enables the AR user interface by setting the HMD to show a field of view and overlaying visual stimuli on the field of view.