VR Visualization System with Object Recommendation Engine
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing virtual reality systems face challenges in accurately representing real-world rooms and overwhelming users with uncurated object choices, while also failing to consider the impact of new objects on homeowner's insurance premiums.
Innovation Solution
A virtual reality visualization system that generates a virtual representation of a real-world room based on gathered information, provides object recommendations, and updates the virtual room with selected items, including functionality to assess the impact of these changes on insurance premiums.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system provides an uncurated catalog of virtual objects for inclusion in the room, then the variety and choice of objects available to users increases, but the user experience deteriorates due to users being overwhelmed with choices
Solution Approach 1:
The recommendation engine automatically analyzes user profiles, room characteristics, and design preferences to generate personalized object recommendations without requiring users to manually filter through catalogs. The system serves itself by autonomously curating suitable objects based on gathered information about the user and their space.
Solution Approach 2:
The system incorporates feedback loops where user interactions with recommended objects, selection patterns, and explicit preferences are continuously analyzed to refine future recommendations. This dynamic adjustment ensures the object catalog remains tailored to individual user needs while maintaining ease of use.
2Adaptability or versatility
If the system provides a comprehensive catalog of all possible virtual objects, then the completeness of object selection increases, but the system complexity increases making it harder to manage and navigate
Solution Approach 1:
The recommendation engine extracts and presents only the most relevant objects from the comprehensive catalog based on user profiles and room characteristics. This extraction process filters out unnecessary options while maintaining access to the full catalog's diversity, reducing system complexity without sacrificing selection completeness.
Solution Approach 2:
The object catalog is segmented into curated categories and recommendations based on room types, user preferences, and design styles. This segmentation organizes the comprehensive catalog into manageable sections, making navigation easier while preserving access to all object types through the recommendation system.
3Adaptability or versatility
If the system allows users to freely select any virtual objects for the room, then the user freedom and customization options increase, but the accuracy of representing a realistic room configuration decreases
Solution Approach 1:
The system performs preliminary analysis of room dimensions, architectural features, and spatial constraints before presenting object recommendations. This preliminary action establishes realistic boundaries and guidelines that inform user selections, ensuring freedom of choice within the context of accurate room representation.
Solution Approach 2:
The recommendation engine acts as an intermediary between user freedom and room accuracy requirements. It translates user preferences into contextually appropriate recommendations that respect spatial constraints, effectively mediating between unrestricted selection and realistic room configuration.
4Loss of information
If the system provides detailed information about all available virtual objects, then the information completeness increases, but the information overload increases making it difficult for users to process
Solution Approach 1:
The system provides detailed information selectively based on user needs and context. Rather than displaying all possible information for all objects simultaneously, it tailors the depth and type of information presented to each specific object and user interaction context, maintaining completeness while avoiding overload.
Solution Approach 2:
The recommendation engine initially presents a curated subset of the most relevant object information, allowing users to access additional details on demand. This partial presentation approach prevents information overload while ensuring all necessary information remains available when users need it.
Data Source
AI summary
Aspects of the disclosure relate to virtual reality systems (and/or augmented reality systems) that facilitate visualization of replacement and/or additional items for rebuilding a damaged room. The system may provide a virtual representation of a subject real-world room. A user may select items, such as appliances and furniture, for placement in the virtual room and the system may update the virtual room to include a representation of the items. In some embodiments, the system may utilize information about the user to provide recommendations regarding items that may be placed in a virtual room. For example, the system may utilize one or more service records to identify items covered under a service associated with the user. In some embodiments, the system may apply a monetary settlement to the cost of the real-world items to facilitate the replacement of damaged items.