VR Symptom Assessment via Content and User Analysis
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Solution Overview
Problem
Current technologies fail to accurately determine the likelihood of VR sickness and fatigue in users viewing VR moving images, particularly for children and those stereoscopically challenged, as they rely on user age and genre, neglecting the specific content and image characteristics.
Innovation Solution
A processing device and method that acquire VR moving images with frames for each eye, determining the likelihood of VR symptoms based on user information, content information, and image characteristics, using binocular and content criteria to assess disparities and movements, enabling pre-viewing confirmation without actual user exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only user age and genre information are used to determine VR symptom likelihood, then the assessment method is simple, but the determination accuracy is insufficient
Solution Approach 1:
The patent segments the assessment into multiple independent components: user information (age, stereoscopic challenge status), content information (genre, camera movement, scene type), and image characteristics (binocular disparity, frame rate). Each segment is evaluated separately and then integrated to form a comprehensive assessment, improving accuracy without excessive complexity
Solution Approach 2:
The patent creates a multi-functional assessment system that handles various types of input data (user profiles, content metadata, image analysis results) and produces comprehensive VR symptom likelihood predictions. This universal approach accommodates different VR content types and user characteristics through a single integrated framework
2Measurement precision
If comprehensive information including content and image characteristics is used to determine VR symptom likelihood, then the determination accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary analysis of VR content before user exposure, extracting key characteristics such as camera movement patterns, binocular disparity ranges, and scene types. User information is also pre-collected (age, stereoscopic challenge status). This preliminary action prepares all necessary data in advance, enabling accurate assessment without complex real-time processing during actual VR viewing
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between the raw VR content and user characteristics on one side, and the final symptom likelihood assessment on the other. This intermediary layer integrates multiple information sources and applies weighted evaluation criteria, simplifying the overall processing by centralizing the complex integration logic in a dedicated intermediate stage
Data Source
AI summary
A processing device acquires a moving image that includes frames in each of which a first image for display to a right eye of a user, and a second image for display to a left eye of the user. The processing device determines a likelihood of the user experiencing a particular symptom due to viewing the moving image, on a basis of information of contents of the moving image, information of the user, and characteristics of the moving image.