Personalized 3D Virtual Space Rendering From User Profile Data
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Solution Overview
Problem
Conventional computer-generated environments fail to account for user preferences, leading to a generalized and less engaging experience.
Innovation Solution
Systems and methods that customize virtual spaces based on user information, including location, design preferences, and metrics, to provide a personalized and enjoyable experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional graphical user interfaces display a generalized computer-generated environment, then the system is simple and easy to implement, but the user experience is less engaging and does not account for user preferences
Solution Approach 1:
The system collects and stores user preference information in advance through user profiles before generating the virtual environment. This preliminary action allows the system to have user data ready when needed, enabling personalized environments without adding complexity to the real-time generation process.
Solution Approach 2:
The system uses user feedback from interactions with the virtual environment to continuously update and refine user profiles. This feedback mechanism enables the system to adapt to user preferences dynamically, improving personalization while managing complexity through iterative learning rather than complex rule-based systems.
2Ease of operation
If the system customizes the virtual environment based on user preferences, then user engagement and experience are improved, but the processing time and computational resources increase
Solution Approach 1:
User profiles and preference data are collected and processed in advance, before the user actually enters the virtual environment. This allows the system to pre-compute personalized settings, reducing the processing time required when the user needs to access the customized environment.
Solution Approach 2:
The system creates simplified representations or templates of customized environments based on user profiles. These pre-configured templates can be quickly instantiated and modified, rather than generating complete customized environments from scratch each time, significantly reducing processing time.
3Manufacturing precision
If the system collects and processes detailed user information for personalization, then the customization accuracy is improved, but the data privacy and security requirements increase
Solution Approach 1:
The system extracts only the essential user preference attributes needed for personalization from complete user data, storing and processing only these specific elements. This extraction approach maintains customization accuracy by focusing on relevant data while reducing overall data volume and associated privacy risks.
Solution Approach 2:
The system applies different levels of data collection and processing to different aspects of user information based on their sensitivity and relevance. Highly sensitive information receives enhanced protection measures, while less sensitive preference data is processed more freely, balancing customization accuracy with privacy protection through differentiated handling.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable medium for displaying a virtual space are provided. The system for displaying a virtual space includes a graphical user interface and a controller. The controller is programmed to receive user information from a user profile, wherein the user information comprises a user location, a user design preference, and at least one user metric. The controller is also programmed to determine display conditions based on the user information, determine user accessibility to virtual features based on the at least one user metric, and display the virtual space including the virtual features on the graphical user interface based on the display conditions and the user accessibility. The virtual space is displayed as a virtual 3D rendered image.