Personalized Text-to-Visual Conversion for AR Accessibility
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Solution Overview
Problem
Conventional assistive technologies fail to adequately convert textual information into accessible visual content tailored to individual user needs and preferences, especially in real-world environments, posing challenges for individuals with dyslexia or visual impairments.
Innovation Solution
A system that utilizes optical character recognition (OCR) to acquire text, applies syntactic analysis, and generates customized visual representations using generative artificial intelligence models, adjusting content based on user profiles and emotional states for delivery to augmented or virtual reality devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional assistive technologies are used to convert text to visual content, then basic accessibility is provided, but the content is not adequately customized to individual user needs and preferences
Solution Approach 1:
The system performs preliminary actions by acquiring user profile information in advance and using it to pre-customize visual content parameters before delivery. This allows the system to adapt to individual user needs without increasing operational complexity during actual use.
Solution Approach 2:
A server acts as an intermediary between the text source and the user's visual device. The server handles the complex customization logic by receiving text information, applying user-specific parameters from profile data, and delivering customized visual content, thereby isolating complexity from the user端 devices.
2Productivity
If text information is converted into visual content in real-time, then accessibility is improved, but processing time and system resources increase
Solution Approach 1:
User profile information and customization parameters are acquired and prepared in advance before actual text conversion is needed. This preliminary preparation enables faster real-time conversion by eliminating the need to process customization logic during the conversion itself.
Solution Approach 2:
The server serves as a dedicated intermediary that handles the computationally intensive tasks of text-to-visual conversion and customization. This allows user devices to simply receive and display pre-processed content, significantly reducing the time loss on the user端 while maintaining real-time capability through efficient server-side processing.
Data Source
AI summary
A system includes a processor that is configured to acquire text information, convert the acquired text information into an image or a video, customize the image or video based on user profile information, and transmit the customized image or video to a user's visual device.